Accesso libero

Political Attitudes of Voters on Twitter in the Second Round of the Polish Presidential Elections 2015

INFORMAZIONI SU QUESTO ARTICOLO

Cita

ADAMIK-SZYSIAK, M. (2014). Twitter in Communication Strategies of the Leaders of the Polish Political Parties. Kwartalnik Naukowy OAP UW „e-Politikon”, 9, 109–131. Search in Google Scholar

ATLURI, V., CHUN, S. A., VAIDYA, J., YAQUB, U. (2017). Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Government Information Quarterly, 34(4), 613–626. https://doi.org/10.1016/j.giq.2017.11.00110.1016/j.giq.2017.11.001 Search in Google Scholar

BELFORD, M., GREENE, D., & CROSS, J. P. (2016). Tweeting Europe: A text-analytic approach to unveiling the content of political actors’ Twitter activities in the European Parliament. 6th Annual General Conference of the European Political Science Association (EPSA’16), 44. Search in Google Scholar

BREEZE, R. (2020). Exploring populist styles of political discourse in Twitter. World Englishes, 39(4), 550–567. https://doi.org/10.1111/weng.1249610.1111/weng.12496 Search in Google Scholar

CHANDIO, M. M., SAH, M. (2020). Brexit Twitter Sentiment Analysis: Changing Opinions about Brexit and UK Politicians. In: L. C. Jain, S.-L. Peng, B. Alhadidi, S. Pal (Eds.), Intelligent Computing Paradigm and Cutting-edge Technologies (V. 9, p. 1–11). Springer International Publishing. https://doi.org/10.1007/978-3-030-38501-9_110.1007/978-3-030-38501-9_1 Search in Google Scholar

CHAUHAN, P., SHARMA, N., & SIKKA, G. (2020). The emergence of social media data and sentiment analysis in election prediction. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-02423-y10.1007/s12652-020-02423-y Search in Google Scholar

CLEMENT, J. (2020, July 24). Twitter: most users by country. https://www.statista.com/statistics/242606/number-of-active-twitter-users-in-selected-countries/ Search in Google Scholar

COLLIVER, C., POMERANTSEV, P., APPLEBAUM, A., & BIRDWELL, J. (2018). Smearing Sweden. International Influence Campaigns in the 2018 Swedish Election. Search in Google Scholar

DEGENHARD, J. (2020, October 12). Twitter users in Europe 2020, by country. https://www.statista.com/forecasts/1168954/twitter-users-in-europe-by-country Search in Google Scholar

DEHO, O. B., AGANGIBA, W. A., ARYEH, F. L., & ANSAH, J. A. (2018). Sentiment Analysis with Word Embedding. 2018 IEEE 7th International Conference on Adaptive Science & Technology (ICAST), 1–4. https://doi.org/10.1109/ICASTECH.2018.850671710.1109/ICASTECH.2018.8506717 Search in Google Scholar

FURNAS, A. (2012). You Can’t Use Twitter to Predict Election Results. The Atlantic, 5. Search in Google Scholar

GAYO-AVELLO, D. (2012). „I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper”—A Balanced Survey on Election Prediction using Twitter Data. ArXiv:1204.6441 [Physics]. http://arxiv.org/abs/1204.6441 Search in Google Scholar

GAYO-AVELLO, D., METAXAS, P., & MUSTAFARAJ, E. (2011). Limits of Electoral Predictions Using Twitter. ICWSM. Search in Google Scholar

GORWA, ROBERT. (2017). Computational Propaganda in Poland: False Amplifiers and the Digital Public Sphere. Computational Propaganda Project Working Paper Series. http://comprop.oii.ox.ac.uk/wp-content/uploads/sites/89/2017/06/Comprop-Poland.pdf Search in Google Scholar

JAIN, V. K., KUMAR, SH. (2017). Towards Prediction of Election Outcomes Using Social Media. International Journal of Intelligent Systems and Applications, 9(12), 20–28. doi: 10.5815/ijisa.2017.12.0310.5815/ijisa.2017.12.03 Search in Google Scholar

JOHNSON, K. M., JIN, D., GOLDWASSER, D. (2017). Modelling of Political Discourse Framing on Twitter. Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017). https://www.cs.purdue.edu/homes/dgoldwas/downloads/papers/JJG_icwsm_2017.pdf10.1609/icwsm.v11i1.14958 Search in Google Scholar

KHARDE, V. A., & SONAWANE, S. S. (2016). Sentiment Analysis of Twitter Data: A Survey of Techniques. International Journal of Computer Applications, 139(11), 5–15. https://doi.org/10.5120/ijca201690862510.5120/ijca2016908625 Search in Google Scholar

LIU, R., YAO, X., GUO, C., & WEI, X. (2020). Can We Forecast Presidential Election Using Twitter Data? An Integrative Modelling Approach. Annals of GIS, 1–14. https://doi.org/10.1080/19475683.2020.182970410.1080/19475683.2020.1829704 Search in Google Scholar

OLIŃSKI, M., SZAMROWSKI, P. (2019). The Use of the Twitter in Public Benefit Organisations in Poland: How Communicative Function of Tweets Translates Into Audience Reaction? Central European Economic Journal, 5(52), 10–24. https://doi.org/10.1515/ceej-2018-000910.1515/ceej-2018-0009 Search in Google Scholar

RODAK, O. (2017). Twitter jako przedmiot badań socjologicznych i źródło danych społecznych: Perspektywa konstruktywistyczna. Studia Socjologiczne, 3(226), 209–236. Search in Google Scholar

SALUNKHE, P., SURNAR, A., & SONAWANE, S. (2017). A Review: Prediction of Election Using Twitter Sentiment Analysis. International Journal of Advanced Research in Computer Engineering & Technology, 06(05), 723–725. Search in Google Scholar

VON NORDHEIM, G., BOCZEK, K., KOPPERS, L. (2018). Sourcing the Sources: An analysis of the use of Twitter and Facebook as a journalistic source over 10 years in The New York Times, The Guardian, and Süddeutsche Zeitung. Digital Journalism, 6(7), 807–828. https://doi.org/10.1080/21670811.2018.149065810.1080/21670811.2018.1490658 Search in Google Scholar