Mykola Makhortykh

Orcid: 0000-0001-7143-5317

According to our database1, Mykola Makhortykh authored at least 38 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
User Attitudes to Content Moderation in Web Search.
Proc. ACM Hum. Comput. Interact., 2024

"Foreign beauties want to meet you": The sexualization of women in Google's organic and sponsored text search results.
New Media Soc., 2024

Representativeness and face-ism: Gender bias in image search.
New Media Soc., 2024

Scaling up search engine audits: Practical insights for algorithm auditing.
J. Inf. Sci., 2024

Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media.
Hum. Comput., 2024

Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines.
CoRR, 2024

LLMs as information warriors? Auditing how LLM-powered chatbots tackle disinformation about Russia's war in Ukraine.
CoRR, 2024

Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy.
CoRR, 2024

Finding frames with BERT: A transformer-based approach to generic news frame detection.
CoRR, 2024

A Matter of Mindset? Features and Processes of Newsroom-based Corporate Communication in Times of Artificial Intelligence.
CoRR, 2024

Finding the white male: The prevalence and consequences of algorithmic gender and race bias in political Google searches.
CoRR, 2024

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution.
CoRR, 2024

Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine.
CoRR, 2024

No AI After Auschwitz? Bridging AI and Memory Ethics in the Context of Information Retrieval of Genocide-Related Information.
CoRR, 2024

Mapping the Field of Algorithm Auditing: A Systematic Literature Review Identifying Research Trends, Linguistic and Geographical Disparities.
CoRR, 2024

2023
You are how (and where) you search? Comparative analysis of web search behavior using web tracking data.
J. Comput. Soc. Sci., October, 2023

Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities.
Discov. Artif. Intell., 2023

In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?
CoRR, 2023

2022
Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results.
Telematics Informatics, 2022

Sociotechnical imaginaries of algorithmic governance in EU policy on online disinformation and FinTech.
New Media Soc., 2022

Not all who are bots are evil: A cross-platform analysis of automated agent governance.
New Media Soc., 2022

To track or not to track: examining perceptions of online tracking for information behavior research.
Internet Res., 2022

Novelty in news search: a longitudinal study of the 2020 US elections.
CoRR, 2022

This is what a pandemic looks like: Visual framing of COVID-19 on search engines.
CoRR, 2022

Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data.
CoRR, 2022

2021
We are what we click: Understanding time and content-based habits of online news readers.
New Media Soc., 2021

Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines.
First Monday, 2021

Algorithm Auditing at a Large-Scale: Insights from Search Engine Audits.
CoRR, 2021

You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data.
CoRR, 2021

The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines.
CoRR, 2021

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents.
Proceedings of the Companion of The Web Conference 2021, 2021

Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020
Four tales of sci-fi and information law.
Internet Policy Rev., 2020

Explanations of news personalisation across countries and media types.
Internet Policy Rev., 2020

2019
Reading News with a Purpose: Explaining User Profiles for Self-Actualization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Designing for the better by taking users into account: a qualitative evaluation of user control mechanisms in (news) recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
#Euromaidan: Quantitative Analysis of Multilingual Framing 2013-2014 Ukrainian Protests on Twitter.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018


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