Maryna Sydorova
Biographic Data
| ID | 6542998 |
|---|---|
| NAME | Maryna Sydorova |
| GIVEN NAMES | Maryna |
| FAMILY NAME | Sydorova |
| SIGNATURE | SYDOROVA M |
| AFFILIATIONS | University of Bern |
| ORCID | 0000-0001-7795-0459 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Algorithmically curated lies: How search engines handle misinformation about U.S. biolabs in Ukraine
The growing volume of online content prompts the need for adopting algorithmic systems for curating information. These systems range from web search engines to recommender systems and are integral for helping users stay informed about important societal developments. However, the algorithmic information curation systems (AICSs) are known to be subject to different forms of malperformance which make them vulnerable to possible manipulation, especi…
Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections
Search engines (SEs) influence how individuals are informed about election-related developments and perceive the environment in which elections take place. It has particular implications for (perceived) polarization, especially if SEs’ curation leads to a skewed treatment of information sources; however, until now, it is unclear how different SE factors may affect the emergence of such a partisan gap. To address this shortcoming, we audit the two…
How beliefs, knowledge and intuition affect the way we search? Examining how users formulate search queries about climate change
Search engines are one of the most common ways for users to discover news and political information. As a result, the content and sources prioritized by these platforms are of paramount importance. Previous research has shown that search engines can provide biased outputs by, for example, discriminating against certain social groups or favoring certain viewpoints. However, there has been a gap in understanding how users search for information usi…
Google, how should I vote? How users formulate search queries to find political information on search engines
Search engines play a crucial role in helping users navigate the digital environment. However, factors affecting how users interact with these platforms, in particular choose search queries, remain understudied. Using a representative survey of Swiss citizens conducted before a round of federal popular votes, this study examines how users formulate search queries related to the retirement policies that were voted on in 2024. Contrary to existing …
The Prevalence and Consequences of Women’s Algorithmic Underrepresentation in Cross-National Political Google Searches
Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content
The rise of populist radical right (PRR) ideas stresses the importance of understanding how individuals engage with PRR content online. However, this task is complicated by the variety of channels through which such engagement can take place. In this article, we systematically compare computational approaches for detecting PRR content in textual data. Using 66 dictionary, classic supervised machine learning, and deep learning (DL) models, we comp…
Finding Frames With Bert: A Transformer-Based Approach to Generic News Frame Detection
Framing is among the most extensively used concepts in the field of communication science. The availability of digital data offers new possibilities for studying how specific aspects of social reality are made more salient in online communication, but also raises challenges related to the scaling of framing analysis and its adoption to new research areas (e.g. studying the impact of artificial intelligence-powered systems on the representation of…
Examining bias perpetuation in academic search engines: An algorithm audit of Google and Semantic Scholar
Researchers rely on academic Web search engines to find scientific sources, but search engine mechanisms may selectively present content that aligns with biases embedded in queries. This study examines whether confirmation biased queries prompted into Google Scholar and Semantic Scholar will yield results aligned with a query’s bias. Six queries (topics across health and technology domains such as ‘vaccines’, ‘Internet use’) were analyzed for dis…
Animating the subjugated past: Digital greeting cards as a form of counter-memory
This article discusses how popular culture products – digital greeting cards – interact with hegemonic historical narratives in the context of war remembrance. It employs the Foucauldian concept of counter-memory to analyse how user-generated mnemonic content interacts with historical power relations. Using content analysis to examine a sample of amateur greeting cards, the authors investigate how these cultural products engage with official and …
Social media and visual framing of the conflict in Eastern Ukraine
This article investigates the use of social media for visual framing of the conflict in Eastern Ukraine. Using a large set of visual data from a popular social networking site, Vkontakte, the authors employ content analysis to examine how the conflict was represented and interpreted in pro-Ukrainian and pro-Russian online communities during the peak of violence in summer 2014. The findings point to the existence of profound differences in framing…
Social media and visual framing of the conflict in Eastern Ukraine
This article investigates the use of social media for visual framing of the conflict in Eastern Ukraine. Using a large set of visual data from a popular social networking site, Vkontakte, the authors employ content analysis to examine how the conflict was represented and interpreted in pro-Ukrainian and pro-Russian online communities during the peak of violence in summer 2014. The findings point to the existence of profound differences in framing…
Animating the subjugated past: Digital greeting cards as a form of counter-memory
This article discusses how popular culture products – digital greeting cards – interact with hegemonic historical narratives in the context of war remembrance. It employs the Foucauldian concept of counter-memory to analyse how user-generated mnemonic content interacts with historical power relations. Using content analysis to examine a sample of amateur greeting cards, the authors investigate how these cultural products engage with official and …
Social media and visual framing of the conflict in Eastern Ukraine
This article investigates the use of social media for visual framing of the conflict in Eastern Ukraine. Using a large set of visual data from a popular social networking site, Vkontakte, the authors employ content analysis to examine how the conflict was represented and interpreted in pro-Ukrainian and pro-Russian online communities during the peak of violence in summer 2014. The findings point to the existence of profound differences in framing…
Animating the subjugated past: Digital greeting cards as a form of counter-memory
This article discusses how popular culture products – digital greeting cards – interact with hegemonic historical narratives in the context of war remembrance. It employs the Foucauldian concept of counter-memory to analyse how user-generated mnemonic content interacts with historical power relations. Using content analysis to examine a sample of amateur greeting cards, the authors investigate how these cultural products engage with official and …
Examining bias perpetuation in academic search engines: An algorithm audit of Google and Semantic Scholar
Researchers rely on academic Web search engines to find scientific sources, but search engine mechanisms may selectively present content that aligns with biases embedded in queries. This study examines whether confirmation biased queries prompted into Google Scholar and Semantic Scholar will yield results aligned with a query’s bias. Six queries (topics across health and technology domains such as ‘vaccines’, ‘Internet use’) were analyzed for dis…
Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content
The rise of populist radical right (PRR) ideas stresses the importance of understanding how individuals engage with PRR content online. However, this task is complicated by the variety of channels through which such engagement can take place. In this article, we systematically compare computational approaches for detecting PRR content in textual data. Using 66 dictionary, classic supervised machine learning, and deep learning (DL) models, we comp…
Finding Frames With Bert: A Transformer-Based Approach to Generic News Frame Detection
Framing is among the most extensively used concepts in the field of communication science. The availability of digital data offers new possibilities for studying how specific aspects of social reality are made more salient in online communication, but also raises challenges related to the scaling of framing analysis and its adoption to new research areas (e.g. studying the impact of artificial intelligence-powered systems on the representation of…
Algorithmically curated lies: How search engines handle misinformation about U.S. biolabs in Ukraine
The growing volume of online content prompts the need for adopting algorithmic systems for curating information. These systems range from web search engines to recommender systems and are integral for helping users stay informed about important societal developments. However, the algorithmic information curation systems (AICSs) are known to be subject to different forms of malperformance which make them vulnerable to possible manipulation, especi…
Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections
Search engines (SEs) influence how individuals are informed about election-related developments and perceive the environment in which elections take place. It has particular implications for (perceived) polarization, especially if SEs’ curation leads to a skewed treatment of information sources; however, until now, it is unclear how different SE factors may affect the emergence of such a partisan gap. To address this shortcoming, we audit the two…
How beliefs, knowledge and intuition affect the way we search? Examining how users formulate search queries about climate change
Search engines are one of the most common ways for users to discover news and political information. As a result, the content and sources prioritized by these platforms are of paramount importance. Previous research has shown that search engines can provide biased outputs by, for example, discriminating against certain social groups or favoring certain viewpoints. However, there has been a gap in understanding how users search for information usi…
Google, how should I vote? How users formulate search queries to find political information on search engines
Search engines play a crucial role in helping users navigate the digital environment. However, factors affecting how users interact with these platforms, in particular choose search queries, remain understudied. Using a representative survey of Swiss citizens conducted before a round of federal popular votes, this study examines how users formulate search queries related to the retirement policies that were voted on in 2024. Contrary to existing …
The Prevalence and Consequences of Women’s Algorithmic Underrepresentation in Cross-National Political Google Searches
Computer Science (7 works) · Politics (6 works) · Social Media and Politics (5 works) · Political science (4 works) · Search engine (4 works) · World Wide Web (4 works) · Information retrieval (3 works) · Internet privacy (3 works) · Law (3 works) · Social media (3 works)