Twitter zombie: Architecture for capturing, socially transforming and analyzing the twittersphere

GROUP'12 - Proceedings of the ACM 2012 International Conference on Support Group Work

Volumn , Issue , 2012, Pages 229-238

  Black, Alan ^a   Mascaro, Christopher ^a   Gallagher, Michael ^a   Goggins, Sean P ^a  

^a DREXEL UNIVERSITY   (United States)

Author keywords

Data collection; Data management; Methods; Social media; Twitter

Indexed keywords

BACK CHANNELS; COMPARATIVE ANALYSIS; COMPUTATIONAL SYSTEM; DATA COLLECTION; DATA GATHERING AND ANALYSIS; DISASTER RELIEF; FACEBOOK; METHODOLOGICAL APPROACH; METHODS; SOCIAL INTERACTIONS; SOCIAL MEDIA; SOCIAL NETWORKING SITES; SOCIOTECHNICAL; TEXT MESSAGES; TRANSPORT PROTOCOLS; TWITTER; WORK SUPPORT;

APPLICATION PROGRAMMING INTERFACES (API); DISASTER PREVENTION; INFORMATION MANAGEMENT; TEXT MESSAGING;

SOCIAL NETWORKING (ONLINE);

EID: 84870283782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2389176.2389211     Document Type: Conference Paper

References (50)

1. Akcora, C. G., Bayir, M. A., Demirbas, M., and Ferhatosmanoglu, H. 2010. Identifying Breakpoints in Public Opinion. Workshop on Social Media Analytics.
2. Bae, Y. and Lee, H. 2011. A Sentiment Analysis of Audiences on Twitter: Who is the Positive or Negative Audience of Popular Twitterers. ICHIT 2011. 732-739.
3. Bakshy, E., Hofman, J. M., Mason, W. A., and Watts, D. J. 2011. Everyone's an Influencer: Quantifying Influence on Twitter. WSDM.
4. Barbosa, L. and Feng, J. 2010. Robust Sentiment Detection on Twitter from Biased and Noisy Data. International Conference on Computational Linguistics. 36-44.
5. Bermingham, A. and Smeaton, A. 2010. Classifying Sentiment in Microblogs: Is Brevity an Advantage? CIKM. 2010.
6. Bigonha, C. A. S., Cardoso, T. N. C., Moro, M. M., Almeida, V. A. F., and Goncalves, M. A. 2010. Detecting Evangelists and Detractors on Twitter. Brazilian Symposium on Multimedia and the Web (WebMedia).
7. Bollen, J., Mao, H., and Zeng, X. 2011. Twitter mood predicts the stock market. Journal of Computational Science. 2, 2011, 1-8.
8. boyd, d., Golder, S., and Lotan, G. 2010. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. Hawaii International Conference on System Sciences. 43.
9. Cha, M., Haddadi, H., Benevenuto, F., and Gummadi, K. P. 2010. Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM. 4th.
10. Chew, C. and Eysenbach, G. 2010. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak. PLoS One. 5, 11.
11. Conover, M. D., Ratkiewicz, J., Francisco, M., Goncalves, B., Flammini, A., and Menczer, F. 2011. Political Polarization on Twitter. ICWSM. 5th.
12. Culotta, A. 2010. Towards detecting influenza epidemics by analyzing Twitter messages. Workshop on Social Media Analytics. 1st.
13. Diakopoulos, N. A. and Shamma, D. A. 2010. Characterizing Debate Performance via Aggregated Twitter Seniment. CHI.
14. Fonseca, A. 2011. Modeling Political Opinion Dynamics Through Social media and Multi-Agent Simulation. First Doctoral Workshop for Complexity Sciences.
15. Gentry, J. 2012. twitteR package for R.
16. Golbeck, J., Grimes, J. M., and Rogers, A. 2010. Twitter Use by the U.S. Congress. Journal of American Society for Information Science. 61, 8, 1612-1621.
17. Gruzd, A., Doiron, S., and Mai, P. 2011. Is Happiness Contagious Online? A Case of Twitter and the 2010 Winter Olympics. Hawaii International Conference on System Sciences. 44th.
18. Guerra, P. H. C., Veloso, A., Meira, W., and Almeida, V. 2011. From Bias to Opinion: a Transfer-Learning Approach to Real-Time Sentiment Analysis. KDD. 2011.
19. Hanna, A., Sayre, B., Bode, L., Yang, J., and Shah, D. 2011. Mapping the Political Twitterverse: Candidates and Their Followers in the Midterms. ICWSM. 2011.
20. Hansen, D., Schneiderman, B., and Smith, M. A. 2011 Analyzing Social Media Networks with NodeXL. Elsevier.
21. Heverin, T. and Zach, L. 2011. Use of Microblogging for Collective Sense-Making During Violent Crises: A Study of Three Campus Shootings. Journal of American Society for Information Science. 10.1002/asi.21685.
22. Honeycutt, C. and Herring, S. C. 2009. Beyond Microblogging: Conversation and Collaboration via Twitter. Hawaii International Conference on System Sciences. 43.
23. Howison, J., Wiggins, A., and Crowston, K. 2012. Validity Issues in the Use of Social Network Analysis for the Study of Online Communities. Journal of the Association of Information Systems. 12, 2.
24. Huang, J., Thornton, K. M., and Efthimiadis, E. 2010. Conversational Tagging in Twitter. HT.
25. Hughes, A. L. and Palen, L. 2009. Twitter Adoption and Use in Mass Convergence and Emergency Events. ISCRAM. 6th.
26. Java, A., Song, X., Finin, T., and Tseng, B. 2007. Why We Twitter: Understanding Microblogging Usage and Communities. WEBKDD/SNA-KDD Workshop.
27. Jurgens, P., Jungherr, A., and Schoen, H. 2011. Small Worlds with a Difference: New Gatekeepers and the Filtering of Political Information on Twitter. WebSci.
28. Kim, M. and Park, H. W. 2012. Measuring Twitter-Based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators. Scientometrics. 90, 1.
29. Krishnamurthy, B., Gill, P., and Arlitt, M. 2008. A Few Chirps about Twitter. WOSN.
30. Kwak, H., Lee, C., Park, H., and Moon, S. 2010. What is Twitter, a Social Network or a News Media? WWW.
31. Lerman, K. and Ghosh, R. 2010. Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. ICWSM. 4th.
32. Livne, A., Simmons, M. P., Adar, E., and Adamic, L. A. 2011. The Party is Over Here: Structure and Content in the 2010 Election. ICWSM. 5th.
33. Marwick, A. E. and boyd, d. 2011. I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media Society. 13.
34. Meador, C. and Gluck, J. 2009. Analyzing the Relationship Between Tweets, Box-Office Performance and Stocks. Methods.
35. Metaxas, P. T., Mustafaraj, E., and Gayo-Avello, D. 2011. How (Not) To Predict Elections. International Conference on Social Computing. 165-171.
36. Murthy, D., Gross, A., and Oliveira, D. 2011. Understanding Cancer-based Networks in Twitter using Social Network Analysis. IEEE International Conference on Semantic Computing. 5th.
37. Mustafaraj, E., Finn, S., Whitlock, C., and Metaxas, P. T. 2011. Vocal Minority versus Silent Majority: Discovering the Opinions of the Long Tail. International Conference on Social Computing.
38. Mustafaraj, E. and Metaxas, P. T. 2011. What Edited Retweets Reveal about Online Political Discourse. Workshop on Analyzing Microtext.
39. Naaman, M., Becker, H., and Gravano, L. 2011. Hip and Trendy: Characterizing Emerging Trends on Twitter. Journal of American Society for Information Science. 62, 5, 902-918.
40. Pole, A. and Xenos, M. 2011. Like, Comments and Retweets: Facebooking and Tweeting on the 2010 Gubernatorial Campaign Trail. State Politics and Policy Conference. 11th.
41. Quercia, D., Ellis, J., Capra, L., and Crowcroft, J. 2012. Tracking "Gross Community Happiness" from Tweets. CSCW.
42. Romero, D. M., Meeder, B., and Kleinberg, J. 2011. Differences in the Mechanics of Information Diffusion Across Topics: Idioms, Political Hashtags, and Complex Contation on Twitter. WWW.
43. Starbird, K., Palen, L., Hughes, A. L., and Vieweg, S. 2010. Chatter on The Red: What Hazards Threat Reveals about the Social Life of Microblogged Information. CSCW.
44. Sutton, J., Palen, L., and Shklovski, I. 2008. Backchannels on the front lines: Emergent use of social media in the 2007 Southern California fire. Information Systems for Crisis Response and Management Conference.
45. Tumasjan, A., Sprenger, T. O., Sandner, P. G., and Welpe, I. M. 2010. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. ICWSM. 4th.
46. Werry, C. C. 1996 Linguistic and interactional features of Internet Relay Chat. In Computer-mediated communication: Linguistic, social and cross-cultural perspectives, S. C. Herring, Ed John Benjamins.
47. Williams, C. and Gulati, G. J. 2008. What is a Social Network Worth? Facebook and Vote Share in the 2008 Presidential Primaries. American Political Science Association.
48. Wohn, D. Y. and Na, E. K. 2011. Tweeting about TV: Sharing television viewing experiences via social media message streams. First Monday. 16, 3.
49. Zelenkauskaite, A. and Herring, S. C. 2008. Televisionmediated conversation: Coherence in Italian iTV SMS Chat. Hawaii International Conference on System Sciences. 41.
50. Zhao, S., Zhong, L., Wickramasuriya, J., and Vasudevan, V. 2011. Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games. rxiv preprint arXiv:1106.4300.