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Mykola Makhortykh
Mykola Makhortykh
Postdoctoral researcher, Department of Communication and Media Studies, University of Bern
Подтвержден адрес электронной почты в домене ikmb.unibe.ch
Название
Процитировано
Процитировано
Год
Social media and visual framing of the conflict in Eastern Ukraine
M Makhortykh, M Sydorova
Media, war & conflict 10 (3), 359-381, 2017
1522017
Designing for the better by taking users into account: A qualitative evaluation of user control mechanisms in (news) recommender systems
J Harambam, D Bountouridis, M Makhortykh, J Van Hoboken
Proceedings of the 13th ACM conference on recommender systems, 69-77, 2019
1162019
Memory, politics and emotions: Internet memes and protests in Venezuela and Ukraine
M Makhortykh, JM González Aguilar
Continuum 34 (3), 342-362, 2020
732020
Siren: A simulation framework for understanding the effects of recommender systems in online news environments
D Bountouridis, J Harambam, M Makhortykh, M Marrero, N Tintarev, ...
Proceedings of the conference on fairness, accountability, and transparency …, 2019
732019
Safeguarding the journalistic DNA: Attitudes towards the role of professional values in algorithmic news recommender designs
M Bastian, N Helberger, M Makhortykh
Digital Journalism 9 (6), 835-863, 2021
722021
How search engines disseminate information about COVID-19 and why they should do better
M Makhortykh, A Urman, R Ulloa
The Harvard Kennedy School Misinformation Review 1 (1), 1-12, 2020
712020
The matter of chance: Auditing web search results related to the 2020 US presidential primary elections across six search engines
A Urman, M Makhortykh, R Ulloa
Social science computer review 40 (5), 1323-1339, 2022
612022
Personalizing the war: Perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine
M Makhortykh, M Bastian
Media, war & conflict 15 (1), 25-45, 2022
612022
Detecting race and gender bias in visual representation of AI on web search engines
M Makhortykh, A Urman, R Ulloa
International Workshop on Algorithmic Bias in Search and Recommendation, 36-50, 2021
612021
Overcoming polarization with chatbot news? Investigating the impact of news content containing opposing views on agreement and credibility
B Zarouali, M Makhortykh, M Bastian, T Araujo
European journal of communication 36 (1), 53-68, 2021
572021
How transparent are transparency reports? Comparative analysis of transparency reporting across online platforms
A Urman, M Makhortykh
Telecommunications policy 47 (3), 102477, 2023
522023
Reading news with a purpose: Explaining user profiles for self-actualization
E Sullivan, D Bountouridis, J Harambam, S Najafian, F Loecherbach, ...
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019
432019
# NoKievNazi: Social media, historical memory and securitization in the Ukraine crisis
M Makhortykh
Memory and securitization in contemporary Europe, 219-247, 2018
432018
Remediating the past: YouTube and second world war memory in Ukraine and Russia
M Makhortykh
Memory Studies 13 (2), 146-161, 2020
412020
Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines
M Makhortykh, A Urman, R Ulloa
First Monday, online, 2021
382021
Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results
A Urman, M Makhortykh, R Ulloa, J Kulshrestha
Telematics and informatics 72, 101860, 2022
372022
Everything for the Lulz: Historical Memes and World War II Memory on Lurkomor ‘e
M Makhortykh
Digital Icons: Studies in Russian, Eurasian and Central European New Media …, 2015
372015
We are what we click: Understanding time and content-based habits of online news readers
M Makhortykh, C de Vreese, N Helberger, J Harambam, D Bountouridis
New Media & Society, 1461444820933221, 2020
352020
# SaveDonbassPeople: Twitter, propaganda, and conflict in Eastern Ukraine
M Makhortykh, Y Lyebyedyev
The Communication Review 18 (4), 239-270, 2015
352015
News personalization for peace: how algorithmic recommendations can impact conflict coverage
M Bastian, M Makhortykh, T Dobber
International Journal of Conflict Management 30 (3), 309-328, 2019
342019
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Статьи 1–20