Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines
October 01, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Victoria Vziatysheva, Mykola Makhortykh, Maryna Sydorova, Vihang Jumle
arXiv ID
2410.00778
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Search engine results depend not only on the algorithms but also on how users interact with them. However, factors affecting the selection of a search query remain understudied. Using a representative survey of Swiss citizens 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 March 2024. Contrary to existing research, we find no direct evidence of selective exposure, or users' tendency to search for pro-attitudinal information, which we explain by the less polarizing search topics. However, we find that the sentiment of the query is partially aligned with the expected vote outcome. Our results also suggest that undecided and non-voters are more likely to search for nuanced information, such as consequences and interpretations of the policies. The perceived importance and effect of the issue, political views, and sociodemographics also affect query formulation.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted