Identifying Partisan Slant in News Articles and Twitter During Political Crises

Autor: Tetyana Lokot, Dmytro Karamshuk, Nishanth Sastry, Oleksandr Pryymak

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319478791
Karamshuk, D, Lokot, T, Pryymak, O & Sastry, N 2016, Identifying partisan slant in news articles and twitter during political crises . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 10046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10046 LNCS, pp. 257-272, 8th International Conference on Social Informatics, SocInfo 2016, Bellevue, United States, 11/11/2016 . https://doi.org/10.1007/978-3-319-47880-7_16
Karamshuk, Dmytro, Lokot, Tetyana ORCID: 0000-0002-2488-4045 , Pryymak, Oleksandr and Sastry, Nishanth (2016) Identifying partisan slant in news articles and Twitter during political crises. In: 8th International Conference on Social Informatics (SocInfo 2016), 14-17 Nov 2016, Seattle, USA.

In this paper, we are interested in understanding the interrelationships between mainstream and social media in forming public opinion during mass crises, specifically in regards to how events are framed in the mainstream news and on social networks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e81424472f1c2befde298f4baf8c964
https://doi.org/10.1007/978-3-319-47880-7_16