A review on political analysis and social media

Procesamiento del Lenguaje Natural

Volumn 56, Issue , 2016, Pages 13-23

  Alonso, Miguel A ^a   Vilares, David ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Political analysis; Sentiment analysis; Twitter

Indexed keywords

EID: 84963956117     PISSN: 11355948     EISSN: 19897553     Source Type: Journal    
DOI: None     Document Type: Review

References (53)

1. Aragon, P., K.E. Kappler, A. Kaltenbrun- ner, D. Laniado, and Y. Volkovich. 2013. Communication dynamics in Twitter during political campaigns: The case of the 2011 Spanish national election. Policy and Internet, 5(2):183-206, June.
2. Barbera, P. 2012. A new measure of party identification in Twitter. Evidence from Spain. In 2nd Annual General Conference of the European Political Science Associa- tion(EPSA), Berlin, June. EPSA.
3. Barbera, P. and G. Rivero. 2012. Un tweet, un voto? Desigualdad en la discusion politica en Twitter. In I Congreso International en Communication Politica y Es- trategias de Campana, Madrid, July. ALICE.
4. Bermingham, A. and A.F. Smeaton. 2011. On using Twitter to monitor political sentiment and predict election results. In S. Bandyopadhyay and M. Okumurra, editors, Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011), pages 2-10, Chiang Mai, Thailand, November. Asian Federation of Natural Language Processing.
5. Borondo, J., A.J. Morales, J.C. Losada, and R.M. Benito. 2012. Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish presidential election as a case study. AIP Chaos, 22(2):023138, June.
6. Broersma, M. and T. Graham. 2012. Social media as beat. tweets as a news source during the 2010 British and Dutch elections. Journalism Practice, 6(3):403-419.
7. Caldarelli, G., A. Chessa, F. Pammolli, G. Pompa, M. Puliga, M. Riccaboni, and G. Riotta. 2014. A multi-level geographical study of Italian political elections from Twitter data. PLOS ONE, 9(5):e95809, May.
8. Chung, J. and E. Mustafaraj. 2011. Can collective sentiment expressed on Twitter predict political elections? In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), pages 11701171, San Francisco, CA, August. AAAI.
9. Congosto, M.L., M. Fernandez, and E. Moro Egido. 2011. Twitter y politica: Information, opinion y prediction? Cuadernos de Comunicacion Evoca, 4:11-15.
10. Conover, M.D, B. Goncalves, A. Flammini, and F. Menczer. 2012. Partisan asymmetries in online political activity. EPJ Data Science, 1(1):Article: 6, December.
11. Conover, M.D., J. Ratkiewicz, M. Francisco, B. Gongalves, A. Flammini, and F. Menczer. 2011. Political polarization on Twitter. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), pages 89-96, Barcelona, Spain, July. AAAI.
12. Contractor, D. and T.A. Faruquie. 2013. Understanding election candidate approval ratings using social media data. In WWW 2013 Companion, pages 189-190, Rio de Janeiro, May. ACM Press.
13. Cotelo, J.M., F. Cruz, F.J. Ortega, and J.A. Troyano. 2015. Explorando Twitter medi- Ante la integracioon de informacioon estruc- turada y no estructurada. Procesamiento del Lenguaje Natural, 55:75-82, September.
14. Criado, J.I., G. Martinez-Fuentes, and A. Silvan. 2013. Twitter en campana: las elecciones municipales espanolas de 2011. Revista de investigaciones Politicas y So- ciologicas, 12(1):93-113.
15. Deltell, L. 2012. Estrategias de comunicacion politica en las redes sociales durante la campana electoral del 2011 en Espana: el caso de eQuo. In II Jornadas de la Asociacion Madrilena de Sociologia, Madrid, March.
16. Deltell, L., F. Claes, and J.M. Osteso. 2013. Prediction de tendencia politica por Twitter: Elecciones andaluzas 2012. Am- bitos: Revista international de comunicacion, 22:91-100.
17. DiGrazia, J., K. McKelvey, J. Bollen, and F. Rojas. 2013. More tweets, more votes: Social media as a quantitative indicator of political behavior. PLOS ONE, 8(11):e79449, November.
18. Effing, R., J. van Hillegersberg, and T. Huibers. 2011. Social media and political participation: Are Facebook, Twitter and YouTube democratizing our political systems? In E. Tambouris, A. Macintosh, and H. de Bruijn, editors, Electronic Participation, volume 6847 of Lecture Notes in Computer Science. Springer, Berlin and Heidelberg, pages 25-35.
19. Fink, C., N. Bos, A. Perrone, E. Liu, and J. Kopecky. 2013. Twitter, public opinion, and the 2011 Nigerian presidential election. In Proceedings of SocialCom/PASSAT/BigData/EconCom/BioMed- Com 2013 (SocialCom 2013), pages 311320, Washington, D.C., USA, September. IEEE Computer Society.
20. Gamallo, P., M. Garcia, and S. Fernindez Lanza. 2013. TASS: A naive-Bayes strategy for sentiment analysis on Spanish tweets. In A. Diaz Esteban, I. Alegria Loinaz, and J. Villena Romin, editors, XXIX Congreso de la Sociedad Espanola de Procesamiento de Lenguaje Natural (SEPLN 2013). TASS 2013 - Workshop on Sentiment Analysis at SEPLN 2013, pages 126-132, Madrid, Spain, September.
21. Gaurav, M., A. Srivastava, A. Kumar, and S. Miller. 2013. Leveraging candidate popularity on Twitter to predict electionoutcome. In Proceedings of the 7th Workshop on Social Network Mining and Analysis (SNA-KDD 2013), page Article No. 7, Chicago, IL. ACM.
22. Gayo-Avello, D. 2011. Don't turn social median into another 'literay digest' poll. Communications of the ACM, 54(10):121- 128, October.
23. Gayo-Avello, D. 2012. No, you cannot predict elections with Twitter. IEEE Internet Computing, 16(6):91-94, November/December.
24. Gayo-Avello, D., P.T. Metaxas, and E. Mustafaraj. 2011. Limits of electoral predictions using Twitter. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), pages 490-493, Barcelona, Spain, July. AAAI.
25. Golbeck, J. and D.L. Hansen. 2011. Computing political preference among Twitter followers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2011), pages 1105-1108, Vancouver, BC, Canada, May. ACM.
26. Huberty, M. 2013. Multi-cycle forecasting of congressional elections with social media. In Proceedings of the 2nd workshop on Politics, elections and data (PLEAD 2013), pages 23-29, San Francisco, CA, October. ACM.
27. Jensen, M.J. and N. Anstead. 2013. Psepho- logical investigations: Tweets, votes and unknown unknowns in the republican nomination process. Policy & Internet, 5(2):161-182, June.
28. Jungherr, A., P. Jiirgens, and H. Schoen. 2012. Why the pirate party won the German election of 2009 or the trouble with predictions: A response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. "Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment". Social Science Computer Review,, 30(2):229-234.
29. Lampos, V., D. Preotiuc-Pietro, and T. Cohn. 2013. A user-centric model of voting intention from social media. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 993-1003, Sofia, Bulgaria, August. ACL.
30. Lassen, D.S. and A.R. Brown. 2011. Twitter: The electoral connection? Social Sience Computer Review, 29(4):419-436, November.
31. Livne, A., M.P. Simmons, E. Adar, and L.A. Adamic. 2011. The party is over here: Structure and content in the 2010 election. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), pages 201208, Barcelona, Spain, July. AAAI.
32. Makazhanov, A. and D. Rafiei. 2013. Predicting political preference of Twitter users. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), pages 298-305, Niagara, ON, Canada, August. ACM.
33. Metaxas, P.T., E. Mustafaraj, and D. Gayo- Avello. 2011. How (not) to predict elections. In Proceedings of 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing - PASSAT/SocialCom 2011, pages 165171, Boston, Massachusetts, USA, October. IEEE Computer Society.
34. Mohammad, S.M., X. Zhu, S. Kiritchenko, and J. Martin. 2015. Sentiment, emotion, purpose, and style in electoral tweets. Information Processing and Management, 51(4):480-499, July.
35. Monti, C., A. Rozza, G. Zapella, M. Zig- nani, A. Arvidsson, and E. Colleoni. 2013. Modelling political disaffection from Twitter data. In Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2013), pageArticleNo.3, Chicago, IL, USA. ACM.
36. Nooralahzadeh, F., V. Arunachalam, and C. Chiru. 2013. 2012 presidential elections on Twitter - An analysis of how the US and French election were reflected in tweets. In I. Dumitrache, A.M. Florea, and F. Pop, editors, Proceedings of the 19th International Conference on Control Systems and Computer Science (CSCS 2013), pages 240-246, Bucharest, Romania, May. IEEE Computer Society.
37. O'Connor, B., R. Balasubramanyan, B. Routledge, and N.A. Smith. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In W.W. Cohen and S. Gosling, editors, Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM 2010), pages 122-129, Washington, DC, May. AAAI.
38. Park, S. 2015. Sentiment classification using sociolinguistic clusters. In J- Villena- Romin, J. Garcia-Morera, M.A. Garcia- Cumbreras, E. Martinez-Cimara, M.T. Martin-Valdivia, and L.A. Urena-Lopez, editors, TASS 2015 Workshop on Sentiment Analysis at SEPLN, volume 1397 of CEUR Workshop Proceedings, pages 99104, Alicante, Spain, September. CEUR- WS.org.
39. Pena-Lopez, I., M. Congosto, and P. Aragon. 2011. Spanish indignados and the evolution of the 15M: Towards networked para- institutions. In J. Balcells, A. Cerrillo- i-Martinez, M. Peguera, I. Pena-Lopez, M.J. Pifarre, and M. Vilasau, editors, Big Data: Challenges and Opportunities. Pro-ceedings od the 9th International Conference on Internet, Law & Politics, pages 359-386, Barcelona, June. UOC-Huygens Editorial.
40. Pennacchiotti, M. and A.-M. Popescu. 2011. Democrats, Republicans and Starbucks afficionados: User classification in Twitter. In KDD'11. Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 430-436, San Diego, CA, USA, August. ACM.
41. Pennebaker, J.W., M.E. Francis, and R.J. Booth. 2001. Linguistic inquiry and word count: LIWC 2001. Lawrence Erlbaum Associates, Mahway.
42. Pla, F. and L.-F. Hurtado. 2013. ELiRF- UPV en TASS-2013: Anilisis de sen- timientos en Twitter. In A. Diaz Es- teban, I. Alegria Loinaz, and J. Vil- lena Roman, editors, XXIX Congreso de la Sociedad Espanola de Procesamiento de Lenguaje Natural (SEPLN 2013). TASS 2013 - Workshop on Sentiment Analysis at SEPLN 2013, pages 220-227, Madrid, Spain, September.
43. Prasetyo, N.D. and C. Hauff. 2015. Twitter- based election prediction in the developing world. In Proceedings of the 26th ACM Conference on Hypertext and Social Media, (HT 2015), Middle East Technical University Northern Cyprus Campus, Cyprus, September. ACM.
44. Razzaq, M.A., A.M. Qamar, and H.S.M. Bi- lal. 2014. Prediction and analysis of pakistan election 2013 based on sentiment analysis. In X. Wu, M. Ester, and G. Xu, editors, Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), pages 700-703, Beijing, China, August. IEEE.
45. Romero-Frias, E. and L. Vaughan. 2010. European political trends viewed through patterns of web linking. Journal of the American Society for Information Science and Technology, 61(10):2109-2121, October.
46. Romero-Frias, E. and L. Vaughan. 2012. Exploring the relationships between media and political parties through web hyperlink analysis: The case of Spain. Journal of the American Society for Information Science and Technology, 63(5):967- 976, May.
47. Thelwall, M., K. Buckley, and G. Paltoglou. 2012. Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1):163-173, January.
48. Tumasjan, A., T.O. Sprenger, P.G. Sand- ner, and I.M. Welpe. 2010. Predicting elections in Twitter: What 140 characters reveal about political sentiment. In W.W. Cohen and S. Gosling, editors, Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, (ICWSM 2010), pages 178-185, Washington, DC, May. AAAI.
49. Vilares, D., Y. Doval, M.A. Alonso, and C. Gomez-Rodriguez. 2015. LyS at TASS 2015: Deep learning experiments for sentiment analysis on Spanish tweets. In J. Villena-Romin, J. Garcia-Morera, M.A. Garcia-Cumbreras, E. Martinez-Camara, M.T. Martin-Valdivia, and L.A. Urenna- Lopez, editors, TASS 2015 Workshop on Sentiment Analysis at SEPLN, volume1397 of CEUR Workshop Proceedings, pages 47-52, Alicante, Spain, September. CEUR-WS.org.
50. Vilares, D., M. Thelwall, and M.A. Alonso. 2015. The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets. Journal of Information Science, 41(6):799-813, December.
51. Villena-Roman, J. and J. Garcia-Morera. 2013. TASS 2013 - workshop on sentiment analysis at SEPLN 2013: An overview. In A. Diaz Esteban, I. Alegria Loinaz, and J. Villena Roman, editors, XXIX Congreso de la Sociedad Espanola de Procesamiento de Lenguaje Natural (SEPLN 2013). TASS 2013 - Workshop on Sentiment Analysis at SE- PLN 2013, pages 112-125, Madrid, Spain, September.
52. Villena-Roman, J., J. Garcia-Morera, M.A. Garcia-Cumbreras, E. Martinez-Camara, M.T. Martin-Valdivia, and L.A. Urena- Lopez. 2015. Overview of TASS 2015. In J. Villena-Roman, J. Garcia-Morera, M.A. Garcia-Cumbreras, E. Martinez- Cimara, M. T. Martin-Valdivia, and L. A. Urena-Lopez, editors, TASS 2015 Workshop on Sentiment Analysis at SEPLN, volume 1397 of CEUR Workshop Pro-ceedings, pages 13-21, Alicante, Spain, September. CEUR-WS.org.
53. Wang, H., D. Can, A. Kazemzadeh, F. Bar, and S. Narayanan. 2012. A system for real-time Twitter sentiment analysis of 2012 U.S. presidential election cycle. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 115-120, Jeju, Republic of Korea, July. ACL.