HSE Scientists: Social Cues in News Interfaces Build Online Trust

Researchers from the HSE Laboratory for Cognitive Psychology of Digital Interface Users have discovered how social cues in the design of news websites—such as reader comments, the number of reposts, or the author’s name—can help build user trust. An experiment with 137 volunteers showed that such interface elements make a website appear more trustworthy and persuasive to users, with the strongest cue being links to the media’s social networks. The study's findings have been published in Human-Computer Interaction.
In a digital environment, users most often interact not with a person directly, but rather with their digital avatar—through text, icons, or comments. This is particularly evident in news interfaces, where the user is left alone with the flow of information. Therefore, indications of other people's presence—such as the author’s name beneath an article’s title or the opportunity to share one’s opinion—play an important role in evaluating the content itself. Such elements, known as social cues, create the sense of someone else being present in the interface—be it an author, another reader, or an entire community. This helps alleviate feelings of loneliness and uncertainty. However, the impact of such cues on user trust in news websites has not been studied before. Therefore, a team of researchers from HSE University set out to test how the design of news interfaces influences initial online trust.
Scientists at the HSE Laboratory for Cognitive Psychology of Digital Interface Users conducted an experiment in which participants were shown 60 pairs of screenshots featuring specially designed news interface layouts. Each pair consisted of two identical webpages that differed only in the presence of a social cue—for example, one interface might display a 'share' button or the author’s name, while the other contained no such cues. In total, the researchers tested 12 types of social cues, ranging from the number of article views and social media reposts to a feedback form and links to social media pages.
'Seeing that a news outlet has an active social media presence creates a sense of openness and engagement. Users feel they can interact with the source of information rather than just passively consume it, which increases trust,' says Ekaterina Kosova, co-author of the study and Junior Research Fellow at the Laboratory for Cognitive Psychology of Digital Interface Users of the HSE School of Psychology.
Almost all social cues significantly increased user trust in the interface. The strongest effects came from links to the media’s social network pages, indication of the article’s author or editor, and the number of times the article was reposted on social media. The only exception was the chatbot icon: its effect showed a slight decline in trust, though statistically insignificant. According to the researchers, this is likely due to its unusualness—users do not expect to see a chatbot on a news site and perceive it as an inappropriate element.

Prior to the main experiment, participants were divided into three groups. The first group was informed in advance that all news content in the experiment was fake, the second group was told that it was true, and the third group received no information. This allowed the researchers to observe and measure the impact of prior beliefs on user perception of the interface.
They found that prior judgment had a significant effect: participants who were informed in advance that all the news in the study was fake rated the interfaces significantly lower than those in the other groups. However, there were no significant differences between the average ratings from the group informed that the news was truthful and the group that received no prior information, possibly indicating a baseline level of trust in news sources.
These findings can be valuable for developers and designers of news websites. According to the authors, incorporating elements of social presence can help increase user trust and combat the spread of fake news. Further research may identify additional strategies to strengthen audience trust and improve the quality of news content.
The study was conducted with support from the HSE Basic Research Programme.
See also:
How to Assess Students’ Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
HSE Researchers Create New Corpus of Early Child Speech in Russian
Researchers at the HSE Centre for Language and Brain have presented RusLan-M, an open multimedia corpus that makes it possible to trace the development of early child speech in Russian from first words to the emergence of complex grammatical constructions. The database contains around 41 hours of video recordings and more than 35,000 child utterances. The new resource will help researchers study more precisely how children acquire Russian and, in the longer term, develop more reliable tools for assessing speech development. The study has been published in Language Resources and Evaluation.
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
Researchers Rank Recommendation Algorithms Using Sports Tournament Model
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences
The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.
Physicists Discover What Happens Inside a Stable Vortex
Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.


