Urman, Aleksandra; Makhortykh, Mykola (26 September 2019). Webs of Deception: Detecting and Measuring the Diffusion of Online Disinformation During the Elections in Ukraine (Unpublished). In: Digital Societies 2019. Konstanz, Germany. 25-27 September.
In our presentation, we examine the involvement of automated (bots) and human agents (trolls) in the online disinformation efforts during 2019 presidential elections in Ukraine. Our interest towards Ukraine is attributed to two reasons: firstly, as part of the ongoing Russian-Ukrainian conflict, Ukraine is frequently targeted by online disinformation campaigns sponsored by Russia. Secondly, domestic Ukrainian actors increasingly adopt disinformation techniques to target their political opponents that further increases polarization in the Ukrainian society.
To analyze the role of online disinformation in 2019 elections, we examine activity on Twitter in relation to main presidential candidates and combine sentiment analysis and logistic regression techniques to identify malign actors and differentiate between automated and human agents. Then, we examine the content of messages produced by trolls and bots to compare discursive strategies used by them. Finally, we evaluate the impact of disinformation by tracing the diffusion of manipulative content on Twitter.
Item Type: |
Conference or Workshop Item (Poster) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Urman, Aleksandra, Makhortykh, Mykola |
Subjects: |
000 Computer science, knowledge & systems > 070 News media, journalism & publishing 300 Social sciences, sociology & anthropology 300 Social sciences, sociology & anthropology > 320 Political science |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
30 Sep 2019 17:03 |
Last Modified: |
05 Dec 2022 15:31 |
Uncontrolled Keywords: |
trolls, bots, propaganda, disinformation, Ukraine, elections |
URI: |
https://boris.unibe.ch/id/eprint/133566 |
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