BibSLEIGH — twitter tag

twitter

twitter

Tag #twitter

317 papers:

CoG-2019-WallnerKD #game studies #online #profiling: Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game (GW, SK, AD), pp. 1–8.
CIKM-2019-IzbickiPT: Geolocating Tweets in any Language at any Location (MI, VP, VJT), pp. 89–98.
CIKM-2019-SinhaMSMS0 #approach #identification #multi: #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter (PPS, RM, RS, DM, RRS, HL0), pp. 941–950.
ECIR-p1-2019-WangFOM #metric #similarity #topic: Evaluating Similarity Metrics for Latent Twitter Topics (XW, AF, IO, CM), pp. 787–794.
ECIR-p1-2019-ZhangJ #image #network #predict: Image Tweet Popularity Prediction with Convolutional Neural Network (YZ0, AJ), pp. 803–809.
KDD-2019-ChenLPS #predict #using: Using Twitter to Predict When Vulnerabilities will be Exploited (HC0, RL, NP, VSS), pp. 3143–3152.
JCDL-2018-SumikawaJD #microblog: Digital History meets Microblogging: Analyzing Collective Memories in Twitter (YS, AJ, MD), pp. 213–222.
CIKM-2018-ArabzadehFZNB #dependence #predict: Causal Dependencies for Future Interest Prediction on Twitter (NA, HF, FZ, AN, EB), pp. 1511–1514.
CIKM-2018-FangOMHXY #approach #effectiveness #modelling #topic: An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter (AF, IO, CM, PH, XX, HTY), pp. 1547–1550.
CIKM-2018-PauleMMO #fine-grained #learning: Learning to Geolocalise Tweets at a Fine-Grained Level (JDGP, YM, CM, IO), pp. 1675–1678.
ECIR-2018-00010VPRP #learning #multi: Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets (SG0, MG0, VV, SP, NR, GKP), pp. 59–71.
ECIR-2018-00010VPRP18a: Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets (SG0, MG0, VV, SP, NR, GKP), pp. 556–562.
ECIR-2018-DeySK #detection #topic #using: Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention (KD, RS, SK), pp. 529–536.
ECIR-2018-MeladianosXNV #approach #detection #optimisation #summary: An Optimization Approach for Sub-event Detection and Summarization in Twitter (PM, CX, GN, MV), pp. 481–493.
ECIR-2018-OzdikisRN #predict #statistics: Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets (OO, HR, KN), pp. 494–506.
ECIR-2018-SuarezACME #retrieval: A Data Collection for Evaluating the Retrieval of Related Tweets to News Articles (AS, DA, DC, MMA, JE), pp. 780–786.
ECIR-2018-SuFMMO #classification #multi #on the: On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification (TS, AF, RM, CM, IO), pp. 765–772.
ECIR-2018-Zhang0LZ #analysis #matrix #representation #sentiment #using: Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation (YZ, DS0, XL, PZ0), pp. 316–329.
KDD-2018-LiangZRK #profiling: Dynamic Embeddings for User Profiling in Twitter (SL, XZ0, ZR, EK), pp. 1764–1773.
SANER-2017-SharmaTSLY #developer #learning: Harnessing Twitter to support serendipitous learning of developers (AS0, YT0, AS, DL0, AFY), pp. 387–391.
CIKM-2017-ChongL: Tweet Geolocation: Leveraging Location, User and Peer Signals (WHC, EPL), pp. 1279–1288.
CIKM-2017-FanZYLZ #automation #case study #detection #social #social media: Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies (YF, YZ, YY, XL, WZ), pp. 1259–1267.
CIKM-2017-LimLH #framework #interactive #named: iFACT: An Interactive Framework to Assess Claims from Tweets (WYL, MLL, WH), pp. 787–796.
CIKM-2017-UedaYK #algorithm: Collecting Non-Geotagged Local Tweets via Bandit Algorithms (SU, YY, HK), pp. 2331–2334.
CIKM-2017-WangCL #graph #using: Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter (YW, MJC, YFL), pp. 2351–2354.
CIKM-2017-ZhengSWH #generative #identification #keyword: Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation (XZ, AS, SW0, JH), pp. 1619–1628.
ECIR-2017-AlbahemHTE #named #realtime: QweetFinder: Real-Time Finding and Filtering of Question Tweets (AA, MH, MT, TE), pp. 766–769.
ECIR-2017-ChellalBD #similarity #word: Word Similarity Based Model for Tweet Stream Prospective Notification (AC, MB, BD), pp. 655–661.
ECIR-2017-ChongLC: Collective Entity Linking in Tweets Over Space and Time (WHC, EPL, WWC), pp. 82–94.
ECIR-2017-J0V #using: Improving Tweet Representations Using Temporal and User Context (GJ, MG0, VV), pp. 575–581.
ECIR-2017-PiaoB: Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies (GP, JGB), pp. 122–133.
ECIR-2017-ZarrinkalamFBK #predict: Predicting Users' Future Interests on Twitter (FZ, HF, EB, MK), pp. 464–476.
KDD-2017-PaulLTYF #analysis #exclamation #named #sentiment #what: Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says! (DP, FL0, MKT, XY, RF), pp. 1585–1594.
KDD-2017-ZhangLLYZH0 #detection #named #online: TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams (CZ0, LL, DL, QY0, HZ, TH, JH0), pp. 595–604.
JCDL-2016-NishiokaS #matter #profiling #question #recommendation #what: Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? (CN, AS), pp. 171–180.
CIKM-2016-Duong-TrungSS #matrix #predict #realtime: Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression (NDT, NS, LST), pp. 1973–1976.
CIKM-2016-FanFYZ #adaptation #realtime: Adaptive Evolutionary Filtering in Real-Time Twitter Stream (FF, YF, LY, DZ0), pp. 1079–1088.
CIKM-2016-GiachanouMC #sentiment: Explaining Sentiment Spikes in Twitter (AG, IM, FC), pp. 2263–2268.
CIKM-2016-HuaZWLR #generative: Automatical Storyline Generation with Help from Twitter (TH, XZ, WW0, CTL, NR), pp. 2383–2388.
CIKM-2016-ImamoriT #predict: Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters (DI, KT), pp. 639–648.
CIKM-2016-LiSLNF #classification #knowledge base #named #topic #word: TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding (QL, SS, XL, AN, RF), pp. 2429–2432.
CIKM-2016-LiSNLF #hashtag #learning #rank #recommendation #topic: Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank (QL, SS, AN, XL, RF), pp. 2085–2088.
CIKM-2016-Liu0 #approach: Where are You Tweeting?: A Context and User Movement Based Approach (ZL, YH0), pp. 1949–1952.
CIKM-2016-LiuLNFTAKVPWMDV #detection #realtime #scalability #verification: Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter (XL, QL, AN, RF, MT, KA, RK, MV, SP, RW, RM, JD, AV, WK, SS), pp. 207–216.
CIKM-2016-PiaoB #concept #modelling #personalisation #recommendation: User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations (GP, JGB), pp. 2057–2060.
CIKM-2016-Preotiuc-Pietro #behaviour: Studying the Dark Triad of Personality through Twitter Behavior (DPP, JC, SG, LHU), pp. 761–770.
CIKM-2016-SadriMY #adaptation #online #topic: Online Adaptive Topic Focused Tweet Acquisition (MS, SM, YY), pp. 2353–2358.
CIKM-2016-SoulierTN #collaboration #recommendation #social: Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration (LS, LT, GHN), pp. 267–276.
CIKM-2016-ZhangGWHH #network #predict: Retweet Prediction with Attention-based Deep Neural Network (QZ0, YG, JW, HH, XH), pp. 75–84.
CIKM-2016-ZhaoCS: Annotating Points of Interest with Geo-tagged Tweets (KZ0, GC, AS), pp. 417–426.
ECIR-2016-AlbornozAPG #online #summary: Tweet Stream Summarization for Online Reputation Management (JCdA, EA, LP, JG), pp. 378–389.
ECIR-2016-FangMOH #case study #metric #topic #user study: Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data (AF, CM, IO, PH), pp. 492–504.
ECIR-2016-GiachanouHC #retrieval #topic: Topic-Specific Stylistic Variations for Opinion Retrieval on Twitter (AG, MH, FC), pp. 466–478.
ECIR-2016-MagdyEH #evaluation #generative #on the #timeline: On the Evaluation of Tweet Timeline Generation Task (WM, TE, MH), pp. 648–653.
ECIR-2016-MartinsMC #interface #realtime: Jitter Search: A News-Based Real-Time Twitter Search Interface (FM, JM, JC), pp. 841–844.
ECIR-2016-NiuLC #approach #learning #named: LExL: A Learning Approach for Local Expert Discovery on Twitter (WN, ZL, JC), pp. 803–809.
ECIR-2016-ShariffSZ #analysis #correlation: Correlation Analysis of Reader's Demographics and Tweet Credibility Perception (SMS, MS, XZ), pp. 453–465.
ECIR-2016-ZarrinkalamFBK #topic: Inferring Implicit Topical Interests on Twitter (FZ, HF, EB, MK), pp. 479–491.
ICPR-2016-OnishiN #interactive #people: Mutual interaction model between the number of people in real space and the number of tweets in virtual space (MO, SN), pp. 2073–2078.
HT-2015-BerettaMCM #interactive: An Interactive Method for Inferring Demographic Attributes in Twitter (VB, DM, TC, EM), pp. 113–122.
HT-2015-BurnapCS #analysis #classification #communication: Machine Classification and Analysis of Suicide-Related Communication on Twitter (PB, WC, JS), pp. 75–84.
HT-2015-GavilanesGPTKG: Language, Twitter and Academic Conferences (ROGG, DG, DPS, CT, AK, EG), pp. 159–163.
HT-2015-HeimbachSSH #empirical #facebook #network #online #social: Content Virality on Online Social Networks: Empirical Evidence from Twitter, Facebook, and Google+ on German News Websites (IH, BS, TS, OH), pp. 39–47.
HT-2015-HuynhLM #process: A Dynamical Model of Twitter Activity Profiles (HNH, EFTL, CPM), pp. 49–57.
HT-2015-MagdyDW #quote: “I like ISIS, but I want to watch Chris Nolan’s new movie”: Exploring ISIS Supporters on Twitter (WM, KD, IW), pp. 321–322.
HT-2015-RoutB #algorithm #dataset #ranking: A Human-annotated Dataset for Evaluating Tweet Ranking Algorithms (DPR, KB), pp. 95–99.
HT-2015-SampsonMML #clustering #keyword: Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage (JS, FM, RM, HL), pp. 237–245.
JCDL-2015-BarthelTKSB #what: What does Twitter Measure?: Influence of Diverse User Groups in Altmetrics (SB, ST, BK, PS, WTB), pp. 119–128.
SIGMOD-2015-KulkarniBFKKMPR #scalability: Twitter Heron: Stream Processing at Scale (SK, NB, MF, VK, CK, SM, JMP, KR, ST), pp. 239–250.
TPDL-2015-LlewellynGAOT #dataset #topic: Extracting a Topic Specific Dataset from a Twitter Archive (CL, CG, BA, JO, RT), pp. 364–367.
ICSME-2015-SharmaTL #question #re-engineering #what: What’s hot in software engineering Twitter space? (AS, YT, DL), pp. 541–545.
SANER-2015-SharmaTL #automation #identification #named: NIRMAL: Automatic identification of software relevant tweets leveraging language model (AS, YT, DL), pp. 449–458.
SEFM-2015-NicolaMPST #interactive #interpreter #modelling: Twitlang(er): Interactions Modeling Language (and Interpreter) for Twitter (RDN, AM, MP, AS, FT), pp. 327–343.
CHI-PLAY-2015-HicksGKLD #framework #game studies #microblog #platform: Exploring Twitter as a Game Platform; Strategies and Opportunities for Microblogging-based Games (KH, KMG, BK, CL, PD), pp. 151–161.
CHI-2015-AbbarMW #what: You Tweet What You Eat: Studying Food Consumption Through Twitter (SA, YM, IW), pp. 3197–3206.
CHI-2015-BrookerVSBFL #social #social media: Debating Poverty Porn on Twitter: Social Media as a Place for Everyday Socio-Political Talk (PB, JV, SS, JB, TF, SWL), pp. 3177–3186.
CHI-2015-TsugawaKKNIO #process: Recognizing Depression from Twitter Activity (ST, YK, FK, KN, YI, HO), pp. 3187–3196.
CSCW-2015-AbokhodairYM #social: Dissecting a Social Botnet: Growth, Content and Influence in Twitter (NA, DY, DWM), pp. 839–851.
CSCW-2015-Borge-Holthoefer #network: Content and Network Dynamics Behind Egyptian Political Polarization on Twitter (JBH, WM, KD, IW), pp. 700–711.
CSCW-2015-KoganPA: Think Local, Retweet Global: Retweeting by the Geographically-Vulnerable during Hurricane Sandy (MK, LP, KMA), pp. 981–993.
HIMI-IKD-2015-ItouNM #information management #using: Travel-Information Sharing System Using Tweets with Location Information (JI, KN, JM), pp. 526–534.
HIMI-IKD-2015-SasajimaOOS #communication #using #visualisation: Proposal of a Visualization Method to Support Informal Communication Using Twitter Attributes (RS, KO, MO, AS), pp. 107–114.
SCSM-2015-PervinPDTT #hashtag #multi: Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags (NP, TQP, AD, HT, FT), pp. 169–182.
CAiSE-2015-WeilerGS #detection #performance #runtime: Run-Time and Task-Based Performance of Event Detection Techniques for Twitter (AW, MG, MHS), pp. 35–49.
ICEIS-v2-2015-GalalE #modelling: Dynamic Modeling of Twitter Users (AG, AEK), pp. 585–593.
CIKM-2015-JiangLSW #behaviour #clustering #matrix #predict: Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction (BJ, JL, YS, LW), pp. 1843–1846.
CIKM-2015-LiuNLFS #realtime: Real-time Rumor Debunking on Twitter (XL, AN, QL, RF, SS), pp. 1867–1870.
CIKM-2015-MazumderMP #consistency #identification: Identifying Top-k Consistent News-Casters on Twitter (SM, SM, DP), pp. 1875–1878.
ECIR-2015-CanneytCD #classification #sentiment #topic: Topic-Dependent Sentiment Classification on Twitter (SVC, NC, BD), pp. 441–446.
ECIR-2015-HagenPBS #classification #detection #sentiment #using: Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores (MH, MP, MB, BS), pp. 741–754.
ECIR-2015-HarveyC #exclamation #hashtag #personalisation: Long Time, No Tweets! Time-aware Personalised Hashtag Suggestion (MH, FC), pp. 581–592.
ECIR-2015-LiHLZ: Selecting Training Data for Learning-Based Twitter Search (DL, BH, TL, XZ), pp. 501–506.
ECIR-2015-MizzaroPS #similarity: Content-Based Similarity of Twitter Users (SM, MP, IS), pp. 507–512.
ECIR-2015-OentaryoLL: Chalk and Cheese in Twitter: Discriminating Personal and Organization Accounts (RJO, JWL, EPL), pp. 465–476.
ECIR-2015-RaoLE #feedback: Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search (JR, JL, ME), pp. 755–767.
KDD-2015-AntoineJWKA: Portraying Collective Spatial Attention in Twitter (ÉA, AJ, SW, YK, TA), pp. 39–48.
KDD-2015-HayashiMTK #detection #realtime #topic: Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
KDD-2015-LiLMWP #predict #timeline: Click-through Prediction for Advertising in Twitter Timeline (CL, YL, QM, DW, SP), pp. 1959–1968.
KDD-2015-ZhaoEHRL #named #predict #process #self: SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (QZ, MAE, HYH, AR, JL), pp. 1513–1522.
RecSys-2015-MagnusonDM #process #recommendation #using: Event Recommendation using Twitter Activity (AM, VD, DM), pp. 331–332.
SIGIR-2015-Bravo-MarquezFP #word: From Unlabelled Tweets to Twitter-specific Opinion Words (FBM, EF, BP), pp. 743–746.
SIGIR-2015-FangOHML #classification #topic: Topic-centric Classification of Twitter User’s Political Orientation (AF, IO, PH, CM, NL), pp. 791–794.
SIGIR-2015-SedhaiS #named #research: HSpam14: A Collection of 14 Million Tweets for Hashtag-Oriented Spam Research (SS, AS), pp. 223–232.
SIGIR-2015-SeverynM15a #analysis #network #sentiment: Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.
SIGIR-2015-WangSLE #difference #generative #timeline: Assessor Differences and User Preferences in Tweet Timeline Generation (YW, GS, JL, ME), pp. 615–624.
SIGIR-2015-WeiG #summary #using: Gibberish, Assistant, or Master?: Using Tweets Linking to News for Extractive Single-Document Summarization (ZW, WG), pp. 1003–1006.
SAC-2015-TakemuraTT #classification: Classification of Twitter follow links based on the followers’ intention (HT, AT, KT), pp. 1174–1180.
HT-2014-GarimellaW: Co-following on twitter (VRKG, IW), pp. 249–254.
HT-2014-HuangWV: Inferring nationalities of Twitter users and studying inter-national linking (WH, IW, SV), pp. 237–242.
HT-2014-KimWWO #analysis #multi: Sociolinguistic analysis of Twitter in multilingual societies (SK, IW, LW, AHO), pp. 243–248.
HT-2014-KumarHL #approach #behaviour #identification: A behavior analytics approach to identifying tweets from crisis regions (SK, XH, HL), pp. 255–260.
HT-2014-LiuW #communication: Cross-hierarchical communication in Twitter conflicts (ZL, IW), pp. 311–312.
HT-2014-Saez-Trumper #identification: Fake tweet buster: a webtool to identify users promoting fake news ontwitter (DST), pp. 316–317.
HT-2014-SharmaSS #process #social: Inferring social ties from common activities in twitter (US, AS, SS), pp. 318–320.
HT-2014-ShuaiLXWG #category theory: Comparing the pulses of categorical hot events in Twitter and Weibo (XS, XL, TX, YW, CG), pp. 126–135.
HT-2014-TanakaTT #classification #why: Why you follow: a classification scheme for twitter follow links (AT, HT, KT), pp. 324–326.
HT-2014-WenLTP #network: Twitter in academic conferences: usage, networking and participation over time (XW, YRL, CT, DP), pp. 285–290.
SIGMOD-2014-Musleh #analysis #visual notation: Spatio-temporal visual analysis for event-specific tweets (MM), pp. 1611–1612.
SIGMOD-2014-ToshniwalTSRPKJGFDBMR: Storm@twitter (AT, ST, AS, KR, JMP, SK, JJ, KG, MF, JD, NB, SM, DVR), pp. 147–156.
VLDB-2014-GuptaSGGZLL #detection #graph #online #realtime #recommendation #scalability: Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.
VLDB-2014-ShirakawaHN #independence #named #realtime: MLJ: Language-Independent Real-Time Search of Tweets Reported by Media Outlets and Journalists (MS, TH, SN), pp. 1605–1608.
CHI-2014-Culotta #health #statistics: Estimating county health statistics with twitter (AC), pp. 1335–1344.
CHI-2014-Hale #multi #network: Global connectivity and multilinguals in the Twitter network (SAH), pp. 833–842.
CHI-2014-RzeszotarskiSMMM: Is anyone out there?: unpacking Q&A hashtags on twitter (JMR, ESS, JNM, AMH, MRM), pp. 2755–2758.
CHI-2014-SchirraSB: Together alone: motivations for live-tweeting a television series (SS, HS, FB), pp. 2441–2450.
CHI-2014-Schoenebeck #how #social #social media #why: Giving up Twitter for Lent: how and why we take breaks from social media (SYS), pp. 773–782.
CHI-2014-SuhPHK #design #evaluation #using: @BabySteps: design and evaluation of a system for using twitter for tracking children’s developmental milestones (HS, JRP, AH, JAK), pp. 2279–2288.
CSCW-2014-0002CTS: Cursing in English on twitter (WW, LC, KT, APS), pp. 415–425.
CSCW-2014-BhattacharyaGKMZGG #microblog #scalability #topic: Deep Twitter diving: exploring topical groups in microblogs at scale (PB, SG, JK, MM, MBZ, NG, KPG), pp. 197–210.
CSCW-2014-GavilanesMQ #bound #communication #social: Twitter ain’t without frontiers: economic, social, and cultural boundaries in international communication (ROGG, YM, DQ), pp. 1511–1522.
CSCW-2014-HemphillR #how: Tweet acts: how constituents lobby congress via Twitter (LH, AJR), pp. 1200–1210.
CSCW-2014-MaruyamaRDSF #how #hybrid: Hybrid media consumption: how tweeting during a televised political debate influences the vote decision (MM, SPR, SKD, BS, HAF), pp. 1422–1432.
CSCW-2014-PriedhorskyCV: Inferring the origin locations of tweets with quantitative confidence (RP, AC, SYDV), pp. 1523–1536.
HIMI-DE-2014-UedaA14a: Suggestion of Operation Method of the Interest Shift Model of the Twitter User (YU, YA), pp. 664–677.
SCSM-2014-Ahangama #detection #realtime #social #social media #using: Use of Twitter Stream Data for Trend Detection of Various Social Media Sites in Real Time (SA), pp. 151–159.
SCSM-2014-AhnMHNHPM #analysis #network #representation #semantics #social: Social Network Representation and Dissemination of Pre-Exposure Prophylaxis (PrEP): A Semantic Network Analysis of HIV Prevention Drug on Twitter (ZA, MM, JH, YN, CWH, MP, JM), pp. 160–169.
SCSM-2014-KumamotoSW #visualisation: Visualizing Impression-Based Preferences of Twitter Users (TK, TS, HW), pp. 209–220.
EDOC-2014-LassenMV #predict: Predicting iPhone Sales from iPhone Tweets (NBL, RM, RV), pp. 81–90.
CIKM-2014-LimB #sentiment #topic: Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon (KWL, WLB), pp. 1319–1328.
CIKM-2014-LiWH #what: What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
CIKM-2014-MaSYC #hashtag #modelling #probability: Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter (ZM, AS, QY, GC), pp. 999–1008.
CIKM-2014-TaxidouF #agile #analysis #information management #named #realtime: RApID: A System for Real-time Analysis of Information Diffusion in Twitter (IT, PMF), pp. 2060–2062.
CIKM-2014-WangYHKAS #chat #interactive #named #web: TwinChat: A Twitter and Web User Interactive Chat System (YW, GY, YH, YK, TA, KS), pp. 2045–2047.
CIKM-2014-ZhangL: Recognizing Humor on Twitter (RZ, NL), pp. 889–898.
ECIR-2014-AlbornozASG #automation #monitoring #named #online: ORMA: A Semi-automatic Tool for Online Reputation Monitoring in Twitter (JCdA, EA, DS, JG), pp. 742–745.
ECIR-2014-CorneyMG #detection: Spot the Ball: Detecting Sports Events on Twitter (DC, CJM, AG), pp. 449–454.
ECIR-2014-KapteinBL #case study: Analyzing Discussions on Twitter: Case Study on HPV Vaccinations (RK, EB, DL), pp. 474–480.
ECIR-2014-KasterenUSN: Analyzing Tweets to Aid Situational Awareness (TvK, BU, VS, MEN), pp. 700–705.
ECIR-2014-PanemBGV #detection #realtime #topic #using: Entity Tracking in Real-Time Using Sub-topic Detection on Twitter (SP, RB, MG, VV), pp. 528–533.
ECIR-2014-ShariffZS: User Perception of Information Credibility of News on Twitter (SMS, XZ, MS), pp. 513–518.
ECIR-2014-WangL #realtime #statistics: The Impact of Future Term Statistics in Real-Time Tweet Search (YW, JL), pp. 567–572.
KDD-2014-YangKSG #modelling #scalability #topic: Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDIR-2014-DuvalCCS #mining: Mining for Adverse Drug Events on Twitter (FD, EC, OGC, FS), pp. 354–359.
KDIR-2014-OkumuraYSO #identification: Identifying Tweets that Contain a “Heartwarming Story” (MO, YY, MS, HO), pp. 323–326.
KDIR-2014-OliveiraBSC #automation #classification #clustering: Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification (EO, HGB, MRS, PMC), pp. 465–472.
KDIR-2014-PsomakelisTAV #analysis #sentiment: Comparing Methods for Twitter Sentiment Analysis (EP, KT, DA, TAV), pp. 225–232.
KDIR-2014-TisserantRP #classification #mining #semantics #statistics: Mining Tweet Data — Statistic and Semantic Information for Political Tweet Classification (GT, MR, VP), pp. 523–529.
KMIS-2014-DinsoreanuB #classification #sentiment: Unsupervised Twitter Sentiment Classification (MD, AB), pp. 220–227.
RecSys-2014-BhattacharyaZGGG #network #social: Inferring user interests in the Twitter social network (PB, MBZ, NG, SG, KPG), pp. 357–360.
RecSys-2014-WaldnerV #exclamation #game studies #recommendation #timeline: Emphasize, don’t filter!: displaying recommendations in Twitter timelines (WW, JV), pp. 313–316.
SEKE-2014-LeeKB: Method for Measuring Twitter Content Influence (EL, JDK, DKB), pp. 659–664.
SIGIR-2014-ChengCBB #approach: Who is the barbecue king of texas?: a geo-spatial approach to finding local experts on twitter (ZC, JC, HB, VB), pp. 335–344.
SIGIR-2014-ChenGLH #topic: Inferring topic-dependent influence roles of Twitter users (CC, DG, WL, YH), pp. 1203–1206.
SIGIR-2014-EfronLHV #estimation #feedback #parametricity: Temporal feedback for tweet search with non-parametric density estimation (ME, JL, JH, APdV), pp. 33–42.
SIGIR-2014-KumarJF #detection #using: Where not to go?: detecting road hazards using twitter (AK, MJ, YF), pp. 1223–1226.
SIGIR-2014-LiS #fine-grained: Fine-grained location extraction from tweets with temporal awareness (CL, AS), pp. 43–52.
SIGIR-2014-McMinnTYPSPJ #interactive #interface #visualisation: An interactive interface for visualizing events on Twitter (AJM, DT, TY, AP, RS, JARP, JMJ), pp. 1271–1272.
SIGIR-2014-McParlaneJ #image #wiki: Exploiting Twitter and Wikipedia for the annotation of event images (PJM, JMJ), pp. 1175–1178.
SIGIR-2014-SedhaiS #hashtag #recommendation: Hashtag recommendation for hyperlinked tweets (SS, AS), pp. 831–834.
SIGIR-2014-VoseckyLN #collaboration #modelling #personalisation #topic: Collaborative personalized Twitter search with topic-language models (JV, KWTL, WN), pp. 53–62.
SIGIR-2014-WangZZL #identification #keyword: Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream (XW, YZ, WZ, XL), pp. 1215–1218.
ICSE-2014-SingerFS #developer #how #re-engineering #using: Software engineering at the speed of light: how developers stay current using twitter (LS, FMFF, MADS), pp. 211–221.
SAC-2014-FreitasVHBV #detection: Pathways for irony detection in tweets (LAdF, AAV, DNH, MNB, RV), pp. 628–633.
SAC-2014-LiuMHHSC #algorithm #hybrid #recommendation: A hybrid algorithm for recommendation twitter peers (JNKL, ZM, YXH, YLH, SCKS, VWSC), pp. 644–649.
SAC-2014-ZangerleS #classification #quote: “Sorry, I was hacked”: a classification of compromised twitter accounts (EZ, GS), pp. 587–593.
ISMM-2014-Printezis #perspective #using #virtual machine: Use of the JVM at twitter: a bird’s eye view (TP), p. 1.
DocEng-2013-VilaresAG #classification: Supervised polarity classification of Spanish tweets based on linguistic knowledge (DV, MAA, CGR), pp. 169–172.
HT-2013-BastosPT #topic: Tweeting across hashtags: overlapping users and the importance of language, topics, and politics (MTB, CP, RT), pp. 164–168.
HT-2013-WangQS #analysis #realtime #social: Reading tweeting minds: real-time analysis of short text for computational social science (ZW, DQ, DÓS), pp. 169–173.
HT-2013-WeiHGLZW #analysis #behaviour #case study: Mainstream media behavior analysis on Twitter: a case study on UK general election (ZW, YH, WG, BL, LZ, KFW), pp. 174–178.
SIGMOD-2013-ChengBK #named: Peckalytics: analyzing experts and interests on Twitter (AC, NB, NK), pp. 973–976.
SIGMOD-2013-MishneDLSL #architecture #big data #performance #query #realtime: Fast data in the era of big data: Twitter’s real-time related query suggestion architecture (GM, JD, ZL, AS, JL), pp. 1147–1158.
VLDB-2013-AbdelhaqSG #detection #locality #named #online: EvenTweet: Online Localized Event Detection from Twitter (HA, CS, MG), pp. 1326–1329.
VLDB-2013-ChenYYC #named #recommendation: TeRec: A Temporal Recommender System Over Tweet Stream (CC, HY, JY, BC), pp. 1254–1257.
VLDB-2013-LiWC #automation #framework #monitoring #platform #social #topic #towards: Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream (RL, SW, KCCC), pp. 1966–1977.
VLDB-2013-SundaramTSMIMD #parallel #similarity #streaming #using: Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing (NS, AT, NS, TM, PI, SM, PD), pp. 1930–1941.
MSR-2013-Squire13a #dataset: Apache-affiliated twitter screen names: a dataset (MS), pp. 305–308.
DiGRA-2013-RyanG #case study #game studies #social #social media: Transforming Game Narrative through Social Media: Studying the Mass Effect Universe of Twitter (WR, ZG).
CHI-2013-BirnholtzHR #student: Tweeting for class: co-construction as a means for engaging students in lectures (JPB, JTH, DR), pp. 797–800.
CHI-2013-DenefBK #social #social media: Social media and the police: tweeting practices of british police forces during the August 2011 riots (SD, PSB, NAK), pp. 3471–3480.
CHI-2013-HuttoYG #predict: A longitudinal study of follow predictors on twitter (CJH, SY, EG), pp. 821–830.
CHI-2013-SleeperCKUACS #quote: “I read my Twitter the next morning and was astonished”: a conversational perspective on Twitter regrets (MS, JC, PGK, BU, AA, LFC, NMS), pp. 3277–3286.
CSCW-2013-AlmuhimediWLSA #analysis #scalability: Tweets are forever: a large-scale quantitative analysis of deleted tweets (HA, SW, BL, NMS, AA), pp. 897–908.
CSCW-2013-HemphillOS #question #what: What’s congress doing on twitter? (LH, JO, MS), pp. 877–886.
CSCW-2013-MorganLS #question: Is news sharing on Twitter ideologically biased? (JSM, CL, MZS), pp. 887–896.
CSCW-2013-XuHKC #behaviour: Structures of broken ties: exploring unfollow behavior on twitter (BX, YH, HK, NSC), pp. 871–876.
HCI-UC-2013-KuramochiOTHN #analysis #community #graph #network #semantics #using: Applying to Twitter Networks of a Community Extraction Method Using Intersection Graph and Semantic Analysis (TK, NO, KT, YH, SN), pp. 314–323.
OCSC-2013-Abascal-MenaLZ #analysis #behaviour #mining: User Generated Content: An Analysis of User Behavior by Mining Political Tweets (RAM, ÉLO, JSZH), pp. 3–12.
OCSC-2013-YamauchiHN #analysis #source code: Searching Emotional Scenes in TV Programs Based on Twitter Emotion Analysis (TY, YH, YIN), pp. 432–441.
ICEIS-J-2013-RothPS13a #analysis: Tweeting Politicians: An Analysis of the Usage of a Micro Blogging System (MR, GP, JS), pp. 351–365.
CIKM-2013-ArdonBMRSTT #analysis #topic: Spatio-temporal and events based analysis of topic popularity in twitter (SA, AB, AM, AR, AS, RMT, ST), pp. 219–228.
CIKM-2013-McMinnMJ #corpus #detection #scalability: Building a large-scale corpus for evaluating event detection on twitter (AJM, YM, JMJ), pp. 409–418.
CIKM-2013-MiyanishiSU #feedback #pseudo: Improving pseudo-relevance feedback via tweet selection (TM, KS, KU), pp. 439–448.
CIKM-2013-VoseckyJLN #multi #topic: Dynamic multi-faceted topic discovery in twitter (JV, DJ, KWTL, WN), pp. 879–884.
ECIR-2013-KumarC #feedback #query: Time Based Feedback and Query Expansion for Twitter Search (NK, BAC), pp. 734–737.
ECIR-2013-WaltherK #detection: Geo-spatial Event Detection in the Twitter Stream (MW, MK), pp. 356–367.
KDD-2013-AsadiLB #memory management #policy #realtime: Dynamic memory allocation policies for postings in real-time Twitter search (NA, JL, MB), pp. 1186–1194.
KDD-2013-HuaCZLR #detection #named: STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
KDD-2013-LeeAC #realtime #using: Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.
KDD-2013-MorstatterKLM #comprehension: Understanding Twitter data with TweetXplorer (FM, SK, HL, RM), pp. 1482–1485.
KDD-2013-ShenWLW #knowledge base #modelling: Linking named entities in Tweets with knowledge base via user interest modeling (WS, JW, PL, MW), pp. 68–76.
KDD-2013-WangLLWWC #analysis #named: SEA: a system for event analysis on chinese tweets (YW, HL, HL, JW, ZW, JC), pp. 1498–1501.
KDD-2013-YuanCMSM #topic #what: Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
KDD-2013-ZhaoYNG #framework #learning: A transfer learning based framework of crowd-selection on twitter (ZZ, DY, WN, SG), pp. 1514–1517.
KDIR-KMIS-2013-DimasKV #approach #sentiment: Every Character Counts — A Character based Approach to Determine Political Sentiment on Twitter (AD, PCK, EMV), pp. 261–266.
KDIR-KMIS-2013-MorganK #ambiguity #approach: A Generic Open World Named Entity Disambiguation Approach for Tweets (MBM, MvK), pp. 267–276.
SIGIR-2013-LinSKC #modelling #recommendation: Addressing cold-start in app recommendation: latent user models constructed from twitter followers (JL, KS, MYK, TSC), pp. 283–292.
SIGIR-2013-LiSWH #hybrid #segmentation: Exploiting hybrid contexts for Tweet segmentation (CL, AS, JW, QH), pp. 523–532.
SIGIR-2013-LuoOTW: Who will retweet me?: finding retweeters in twitter (ZL, MO, JT, TW), pp. 869–872.
SIGIR-2013-Magdy #named: TweetMogaz: a news portal of tweets (WM), pp. 1095–1096.
SIGIR-2013-MehrotraSBX #automation #microblog #modelling #topic: Improving LDA topic models for microblogs via tweet pooling and automatic labeling (RM, SS, WLB, LX), pp. 889–892.
SIGIR-2013-RenLMR #personalisation #summary: Personalized time-aware tweets summarization (ZR, SL, EM, MdR), pp. 513–522.
SIGIR-2013-ShouW00 #evolution #named #summary: Sumblr: continuous summarization of evolving tweet streams (LS, ZW, KC, GC), pp. 533–542.
SAC-2013-CampioloSBG #security: Evaluating the utilization of Twitter messages as a source of security alerts (RC, LAFS, DMB, MAG), pp. 942–943.
HT-2012-ComarelaCAB #comprehension: Understanding factors that affect response rates in twitter (GC, MC, VA, FB), pp. 123–132.
HT-2012-CunhaMAGB #behaviour #gender: A gender based study of tagging behavior in twitter (EC, GM, VA, MAG, FB), pp. 323–324.
HT-2012-LimD #community #detection: Following the follower: detecting communities with common interests on twitter (KHL, AD), pp. 317–318.
HT-2012-RecueroA #on the #topic: On the rise of artificial trending topics in twitter (RR, RA), pp. 305–306.
HT-2012-ZubiagaSAG #realtime #summary #towards: Towards real-time summarization of scheduled events from twitter streams (AZ, DS, EA, JG), pp. 319–320.
SIGMOD-2012-LinK #machine learning #scalability: Large-scale machine learning at twitter (JL, AK), pp. 793–804.
VLDB-2012-LeeLLLR #data analysis #framework: The Unified Logging Infrastructure for Data Analytics at Twitter (GL, JL, CL, AL, DVR), pp. 1771–1780.
CHI-2012-ArchambaultG #facebook: A longitudinal study of facebook, linkedin, & twitter use (AA, JG), pp. 2741–2750.
CHI-2012-Golbeck #challenge #web: The twitter mute button: a web filtering challenge (JG), pp. 2755–2758.
CHI-2012-HuLWWSM: Breaking news on twitter (MH, SL, FW, YW, JTS, KLM), pp. 2751–2754.
CHI-2012-Jamison-PowellLDGL #quote: “I can’t get no sleep”: discussing #insomnia on twitter (SJP, CL, LD, AG, SWL), pp. 1501–1510.
CHI-2012-KleekSSs #game studies #named: Twiage: a game for finding good advice on twitter (MVK, DAS, RS, MMCS), pp. 889–898.
CHI-2012-LiaoWPF #comprehension: Understanding experts’ and novices’ expertise judgment of twitter users (QVL, CW, PP, WTF), pp. 2461–2464.
CHI-2012-WangK #development #exclamation #topic: Twitter and the development of an audience: those who stay on topic thrive! (YCW, RK), pp. 1515–1518.
CSCW-2012-AndreBL #microblog: Who gives a tweet?: evaluating microblog content value (PA, MSB, KL), pp. 471–474.
CSCW-2012-ChoudhuryDN #category theory #classification: Unfolding the event landscape on twitter: classification and exploration of user categories (MDC, ND, MN), pp. 241–244.
CSCW-2012-MorrisCRHS #comprehension #microblog: Tweeting is believing?: understanding microblog credibility perceptions (MRM, SC, AR, AH, JS), pp. 441–450.
CSCW-2012-QuerciaECC #community: Tracking “gross community happiness” from tweets (DQ, JE, LC, JC), pp. 965–968.
CIKM-2012-ChuaCBL #classification: Community-based classification of noun phrases in twitter (FCTC, WWC, JB, EPL), pp. 1702–1706.
CIKM-2012-CuiZLMZ: Discover breaking events with popular hashtags in twitter (AC, MZ, YL, SM, KZ), pp. 1794–1798.
CIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #what: What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
CIKM-2012-DuanWZS #classification #graph: Graph-based collective classification for tweets (YD, FW, MZ, HYS), pp. 2323–2326.
CIKM-2012-GaoZLH #clustering #recommendation: Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering (DG, RZ, WL, YH), pp. 2535–2538.
CIKM-2012-KupavskiiOUUSGK #predict: Prediction of retweet cascade size over time (AK, LO, AU, SU, PS, GG, AK), pp. 2335–2338.
CIKM-2012-LiSD #detection #named: Twevent: segment-based event detection from tweets (CL, AS, AD), pp. 155–164.
CIKM-2012-MukherjeeMRB #multi #named #sentiment: TwiSent: a multistage system for analyzing sentiment in twitter (SM, AM, BAR, PB), pp. 2531–2534.
CIKM-2012-PennacchiottiSVV: Making your interests follow you on twitter (MP, FS, HV, RV), pp. 165–174.
CIKM-2012-TakemuraT #classification: Tweet classification based on their lifetime duration (HT, KT), pp. 2367–2370.
CIKM-2012-TTBS: If you are happy and you know it... tweet (AAT, MT, AB, GS), pp. 1602–1606.
CIKM-2012-XiangFWHR #corpus #detection #scalability #topic: Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
CIKM-2012-ZhangHLL #learning #rank #realtime: Query-biased learning to rank for real-time twitter search (XZ, BH, TL, BL), pp. 1915–1919.
ECIR-2012-HarveyCE: Comparing Tweets and Tags for URLs (MH, MJC, DE), pp. 73–84.
ICPR-2012-DeyG #behaviour #consistency #topic: Discovering regular and consistent behavioral patterns in topical tweeting (LD, BG), pp. 3464–3467.
KDD-2012-KumarMMLN #navigation: Navigating information facets on twitter (NIF-T) (SK, FM, GM, HL, UN), pp. 1548–1551.
KDD-2012-MengWLZLW #summary #topic: Entity-centric topic-oriented opinion summarization in twitter (XM, FW, XL, MZ, SL, HW), pp. 379–387.
KDD-2012-RitterMEC: Open domain event extraction from twitter (AR, M, OE, SC), pp. 1104–1112.
KDD-2012-YangGRP #framework: A framework for summarizing and analyzing twitter feeds (XY, AG, YR, SP), pp. 370–378.
KDD-2012-ZhaoDWX #analysis #named #sentiment: MoodLens: an emoticon-based sentiment analysis system for chinese tweets (JZ, LD, JW, KX), pp. 1528–1531.
RecSys-2012-BrigadirGC: A system for twitter user list curation (IB, DG, PC), pp. 293–294.
RecSys-2012-PhelanMS #named #realtime #using: Yokie: explorations in curated real-time search & discovery using twitter (OP, KM, BS), pp. 307–308.
SIGIR-2012-ChenCZJYY #collaboration #personalisation #recommendation: Collaborative personalized tweet recommendation (KC, TC, GZ, OJ, EY, YY), pp. 661–670.
SIGIR-2012-KongFSL #microblog #predict: Predicting lifespans of popular tweets in microblog (SK, LF, GS, KL), pp. 1129–1130.
SIGIR-2012-LiWHYDSL #named #recognition: TwiNER: named entity recognition in targeted twitter stream (CL, JW, QH, YY, AD, AS, BSL), pp. 721–730.
SIGIR-2012-McCreadieSLMOM #corpus #on the #reuse: On building a reusable Twitter corpus (RM, IS, JL, CM, IO, DM), pp. 1113–1114.
SIGIR-2012-MishneL #case study: Twanchor text: a preliminary study of the value of tweets as anchor text (GM, JL), pp. 1159–1160.
SIGIR-2012-NishidaHF #classification #detection #probability #word: Improving tweet stream classification by detecting changes in word probability (KN, TH, KF), pp. 971–980.
SIGIR-2012-YangLLR #analysis #graph: Finding interesting posts in Twitter based on retweet graph analysis (MCY, JTL, SWL, HCR), pp. 1073–1074.
SIGIR-2012-YervaMGTA #named #retrieval: TweetSpector: entity-based retrieval of tweets (SRY, ZM, FG, AT, KA), p. 1016.
SAC-2012-JabeurTB #microblog #network #retrieval: Uprising microblogs: a bayesian network retrieval model for tweet search (LBJ, LT, MB), pp. 943–948.
SAC-2012-KhucSRR #analysis #distributed #scalability #sentiment #towards: Towards building large-scale distributed systems for twitter sentiment analysis (VNK, CS, RR, JR), pp. 459–464.
SAC-2012-TreiberSDS #ad hoc #mobile #workflow: Creating mobile ad hoc workflows with Twitter (MT, DS, SD, CS), pp. 1998–2000.
SIGMOD-2011-ChenLOW #named #performance #realtime: TI: an efficient indexing mechanism for real-time search on tweets (CC, FL, BCO, SW), pp. 649–660.
SIGMOD-2011-MarcusBBKMM: Tweets as data: demonstration of TweeQL and Twitinfo (AM, MSB, OB, DRK, SM, RCM), pp. 1259–1262.
ITiCSE-2011-MarkhamB #bound #using: Collaborating across international boundaries: using twitter as a tool in the classroom (SM, SB), p. 382.
CHI-2011-GolbeckH: Computing political preference among twitter followers (JG, DLH), pp. 1105–1108.
CHI-2011-HechtHSC: Tweets from Justin Bieber’s heart: the dynamics of the location field in user profiles (BH, LH, BS, EHC), pp. 237–246.
CHI-2011-Kivran-SwaineGN #network #online #social: The impact of network structure on breaking ties in online social networks: unfollowing on twitter (FKS, PG, MN), pp. 1101–1104.
CHI-2011-KwakCM #online: Fragile online relationship: a first look at unfollow dynamics in twitter (HK, HC, SBM), pp. 1091–1100.
CHI-2011-MarshallS #social #social media #using: Social media ownership: using twitter as a window onto current attitudes and beliefs (CCM, FMSI), pp. 1081–1090.
CSCW-2011-MunsonRR: Thanks and tweets: comparing two public displays (SAM, ER, PR), pp. 331–340.
CSCW-2011-NasirifardH #realtime: A real-time tweet diffusion advisor for #Twitter (PN, CH), pp. 587–588.
CSCW-2011-ZhaoXCY #wiki: Integrating Twitter into Wiki to support informal awareness (XZ, WX, CYC, MY), pp. 733–736.
HCI-DDA-2011-KogaT #recommendation #topic #using: Developing a User Recommendation Engine on Twitter Using Estimated Latent Topics (HK, TT), pp. 461–470.
HCI-MIIE-2011-ChiangT11a #behaviour #mobile #network #smarttech #social: The Effort of Social Networking on Social Behavior — Integrating Twitter, Mobile Devices, and Wearable Clothing as an Example (CWC, KT), pp. 30–37.
HCI-MIIE-2011-TakahashiAI #question: Can Twitter Be an Alternative of Real-World Sensors? (TT, SA, NI), pp. 240–249.
OCSC-2011-SreenivasanLG: Tweet Me Home: Exploring Information Use on Twitter in Crisis Situations (NDS, CSL, DHLG), pp. 120–129.
CIKM-2011-LiSLKC #identification: Question identification on twitter (BL, XS, MRL, IK, EYC), pp. 2477–2480.
CIKM-2011-LiSVEL: The where in the tweet (WL, PS, APdV, CE, ML), pp. 2473–2476.
CIKM-2011-PobleteGMJ: Do all birds tweet the same?: characterizing twitter around the world (BP, ROGG, MM, AJ), pp. 1025–1030.
CIKM-2011-UysalC #approach #microblog #ranking: User oriented tweet ranking: a filtering approach to microblogs (IU, WBC), pp. 2261–2264.
CIKM-2011-WangWLZZ #analysis #approach #classification #graph #hashtag #sentiment #topic: Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (XW, FW, XL, MZ, MZ), pp. 1031–1040.
CIKM-2011-ZubiagaSFM #topic: Classifying trending topics: a typology of conversation triggers on Twitter (AZ, DS, VF, RM), pp. 2461–2464.
ECIR-2011-HannonMS #recommendation: Finding Useful Users on Twitter: Twittomender the Followee Recommender (JH, KM, BS), pp. 784–787.
ECIR-2011-MagnaniMNR #retrieval: Conversation Retrieval from Twitter (MM, DM, GN, LR), pp. 780–783.
ECIR-2011-PhelanMBS #recommendation #using: Terms of a Feather: Content-Based News Recommendation and Discovery Using Twitter (OP, KM, MB, BS), pp. 448–459.
ECIR-2011-SubasicB: Peddling or Creating? Investigating the Role of Twitter in News Reporting (IS, BB), pp. 207–213.
ECIR-2011-ZhaoJWHLYL #modelling #topic #using: Comparing Twitter and Traditional Media Using Topic Models (WXZ, JJ, JW, JH, EPL, HY, XL), pp. 338–349.
KDD-2011-LinSM #adaptation #modelling #online #topic: Smoothing techniques for adaptive online language models: topic tracking in tweet streams (JL, RS, WM), pp. 422–429.
KDD-2011-PennacchiottiP #classification: Democrats, republicans and starbucks afficionados: user classification in twitter (MP, AMP), pp. 430–438.
KDIR-2011-ConroyGO #similarity: Measuring Twitter user Similarity as a Function of Strength of Ties (JC, JG, CO), pp. 262–270.
SIGIR-2011-LiuJWZ #named: QuickView: advanced search of tweets (XL, LJ, FW, MZ), pp. 1275–1276.
HT-2010-HuangTE: Conversational tagging in twitter (JH, KMT, ENE), pp. 173–178.
SIGMOD-2010-MathioudakisK #detection #named: TwitterMonitor: trend detection over the twitter stream (MM, NK), pp. 1155–1158.
CHI-2010-ChenNNBC #recommendation: Short and tweet: experiments on recommending content from information streams (JC, RN, LN, MSB, EHC), pp. 1185–1194.
CHI-2010-DiakopoulosS #performance #sentiment: Characterizing debate performance via aggregated twitter sentiment (ND, DAS), pp. 1195–1198.
CHI-2010-ViewegHSP #microblog #what: Microblogging during two natural hazards events: what twitter may contribute to situational awareness (SV, ALH, KS, LP), pp. 1079–1088.
CIKM-2010-ChengCL #approach: You are where you tweet: a content-based approach to geo-locating twitter users (ZC, JC, KL), pp. 759–768.
CIKM-2010-PopescuP #detection: Detecting controversial events from twitter (AMP, MP), pp. 1873–1876.
CIKM-2010-YangGCTLZS #behaviour #comprehension #network #social: Understanding retweeting behaviors in social networks (ZY, JG, KC, JT, JL, LZ, ZS), pp. 1633–1636.
ICPR-2010-CheongL #case study #clustering #detection #topic: A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering (MC, VCSL), pp. 3125–3128.
RecSys-2010-HannonBS #collaboration #recommendation #using: Recommending twitter users to follow using content and collaborative filtering approaches (JH, MB, BS), pp. 199–206.
SIGIR-2010-SriramFDFD #classification #information management: Short text classification in twitter to improve information filtering (BS, DF, ED, HF, MD), pp. 841–842.
RecSys-2009-PhelanMS #realtime #recommendation #topic #using: Using twitter to recommend real-time topical news (OP, KM, BS), pp. 385–388.