Kaprāns, M., & Makhortykh, M. (2018). Discussing Wartime Collaboration in a Transnational Digital Space: The Framing of the UPA and the Latvian Legion in Wikipedia. In G. Grinchenko, & E. Narvselius (Eds.), Traitors, Collaborators and Deserters in Contemporary European Politics of Memory (pp. 169-195). (Palgrave Macmillan Memory Studies). Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-319-66496-5_7[details]
Lyebyedyev, E., & Makhortykh, M. (2018). #Euromaidan: Quantitative analysis of multilingual framing 2013–2014 Ukrainian protests on Twitter . In Proceedings of the 2018 IEEE Second International Conference on Data Stream Mining and Processing (pp. 276-280). IEEE Xplore.
Makhortykh, M. (2018). #NoKievNazi: Social Media, Historical Memory and Securitization in the Ukraine Crisis. In V. Strukov, & V. Apryshchenko (Eds.), Memory and Securitization in Contemporary Europe (pp. 219-247). London: Palgrave Macmillan. https://doi.org/10.1057/978-1-349-95269-4_9[details]
Makhortykh, M. (2018). Framing the holocaust online: Memory of the Babi Yar Massacres on Wikipedia. Digital Icons, 18, 67–94.
Fredheim, R., Howanitz, G., & Makhortykh, M. (2014). Scraping the Monumental: Stepan Bandera through the Lens of Quantitative Memory Studies. Digital Icons, 12, 25-53. [details]
Makhortykh, M. (2015). Identity, memory and new media: Inventing the history of Ukraine in Wikipedia. In R. van der Laarse, M. N. Cherenkov, T. Mykhalchuk, & V. V. Proshak (Eds.), Religion, state, society and identity in transition: Ukraine (pp. 241-260). Oisterwijk: Wolf Legal Publishers. [details]
Makhortykh, M., Bastian, M. B., & Dobber, T. (2019). News personalization for peace: How algorithmic content distribution can impact conflict coverage. Abstract from Etmaal van de Communicatiewetenschap, Nijmegen, .
Bastian, M. B., & Makhortykh, M. (2018). Personalized conflict coverage as a major challenge for a democratic public sphere: the case of the war in Eastern Ukraine.. Abstract from AMIRetreat Conference 2018, Greece.
Bastian, M. B., Harambam, J., & Makhortykh, M. (2018). Personalizing the news: How media outlets communicate their algorithmic recommendation practices online. Paper presented at Amsterdam Privacy Conference 2018, Amsterdam, Netherlands.
Bastian, M. B., Makhortykh, M., & Dobber, T. (2018). Algorithms for peace: How news recommender systems can facilitate constructive conflict reporting. Abstract from European Symposium Series on Societal Challenges in Computational Social Science, Cologne, Germany.
Harambam, J., & Makhortykh, M. (2018). All the news you want to read: Personalization as the future imaginary of the news industry. Abstract from We are on a mission, Berlin, Germany.
Makhortykh, M. (2018). Charting the conflicted borders: Narrating the conflict in Eastern Ukraine through digital maps. Abstract from The Power of Borderland(s), Greifswald, Germany.
Makhortykh, M. (2018). Historical memory and securitisation of the Russian intervention in Syria. Abstract from 12th Pan-European Conference on International Relations, Prague, Czech Republic.
Makhortykh, M. (2018). Yura, we are sorry: Internet memes as a means of remediating post-Soviet nostalgia. Abstract from Communicative Forms and Practices of Nostalgia, Stokholm, Sweden.
Makhortykh, M., & Bastian, M. B. (2018). Personalising the conflict: Perspectives for the adoption of algorithms in media coverage of the war in Eastern Ukraine. Abstract from Conference "Media Systems under Pressure: Recent Developments in Media Freedom in Central and Eastern Europe", Amsterdam, Netherlands.
Makhortykh, M., & Bastian, M. B. (2018). Recommended memories: Collective remembrance and algorithmic news personalization. Abstract from ECREA preconference “Towards a Polyphony of Memory? Media, Communication and Memory in the Digital Age”, Lugano, Switzerland.
Makhortykh, M., & Harambam, J. (2018). Decoding the cryptic: How news media communicate personalization practices. Abstract from 7th European Communication Conference (ECREA), Lugano, Switzerland.
Makhortykh, M., & Harambam, J. (2018). Who controls the algorithm? Conceptualizing agenda-setting in the context of a personalized news media ecosystem. Abstract from ECPR General Conference, Hamburg, Germany.
Makhortykh, M., & Sydorova, M. (2018). Daemon ex Machina: Arcane algorithmization as a narrative device and immersion technique. Abstract from Techniques of the Fantastic, Freiburg, Switzerland.
Makhortykh, M., Bastian, M. B., & Möller, J. E. (2018). Hi, I am your bot: The role of chatbots in a changing news environment. Abstract from SciCar Conference, Dortmund, Germany.
Urman, A., & Makhortykh, M. (2018). There can be only one truth: Ideological segregation and online news communities in Ukraine. Poster session presented at European Symposium Series on Societal Challenges in Computational Social Science, Cologne, Germany.
Talk / presentation
Bastian, M. (speaker) & Makhortykh, M. (speaker) (24-9-2018). Hi, I am your bot: The role of chatbots in a changing news environment, Scicar conference, Dortmund.
Makhortykh, M. (speaker) (6-7-2017). Digital patriotism: Affective involvement in political blogs on Russian social media, Political Feelings in Participatory Media, Amsterdam, Netherlands.
Makhortykh, M. (speaker) & Sydorova, M. (speaker) (22-6-2017). Victory gif(t)s: Second World War memory and animated E-cards, Animation and Memory, Nijmegen, Netherlands.
Makhortykh, M. (speaker) (23-5-2017). #Euromaidan: Framing the Ukrainian protests of 2013-2014 on Twitter, Public Lives/Private Platform: The Politics of Twitter, Amsterdam, Netherlands.
Makhortykh, M. (speaker) (12-5-2017). Encyclopedizing the Holocaust: Memory about the Babi Yar massacres in Wikipedia, Trauma Studies in the Digital Age, Amsterdam, Netherlands.
Makhortykh, M. (organiser), Menyhért, A. (organiser) & de Wit, M. (organiser) (10-5-2017 - 12-5-2017). Trauma Studies in the Digital Age, Amsterdam, Netherlands. International workshop "Trauma Studies in the Digital Age" (organising a conference, workshop, ...).
Makhortykh, M. (2017). From myths to memes: Transnational memory and Ukrainian social media. [details]