Generic or Specific Search Terms
What Do Citizens Type in the Google Search Bar to Obtain Political Information
Bibliographic Data
| ID | 12972127 |
|---|---|
| Authors | Guillaume Zumofen (0000-0002-9047-9099, Universidad Iberoamericana, corresponding author) |
| Year | 2023 |
| Volume | 21 |
| Issue | 4 |
| Pages | 375-392 |
| Publication date | 2023-06-27 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Information Technology & Politics (JOURNAL) |
| Journal identifiers | ISSN: 1933-169X • E-ISSN: 1933-1681 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/19331681.2023.2221681 |
| OpenAlex | W4382249324 |
| Language | EN |
| Citations received | 2 |
| References cited | 51 |
Facing a policy issue, citizens use search engines such as Google to seek political information. Although some scholars have expressed concern that higher user control, and high choice might induce selectivity, existing literature has neglected the role of search terms in the echo chamber debate. This study applied two cross-section surveys during two referendum votes to expose respondents to mock Google webpages (N = 728; N = 820). With thematic coding analysis and logistic regressions, the study indicates that citizens rarely use the search bar to search for only like-minded information sources and that individual-level characteristics are not drivers of search terms. Though search terms foresee self-selection in the results’ page for some motivated citizens, ranking remains the main driver of self-selection for most citizens
Information retrieval · Internet privacy · Phrase search · Political science · Politics · Ranking (information retrieval · Referendum · Search analytics · Search engine · Selection (genetic algorithm · Web search query · World Wide Web · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Social Media and Politics · Artificial Intelligence
A Theory of Cognitive Dissonance
The Myth of Digital Democracy
Cognitive Dissonance or Credibility? A Comparison of Two Theoretical Explanations for Selective Exposure to Partisan News
Should we worry about filter bubbles?
Confirmation Bias, Ingroup Bias, and Negativity Bias in Selective Exposure to Political Information
Burst of the Filter Bubble?
Reflecting on Six Decades of Selective Exposure Research
Preelection Selective Exposure
Exposure to ideologically diverse news and opinion on Facebook
Thematic Analysis
Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization
Adapting the Selective Exposure Perspective to Algorithmically Governed Platforms
Googling Referendum Campaigns
Partisan search behavior and Google results in the 2018 U.S. midterm elections
The Google voter
Facebook news and (de)polarization
Red Media, Blue Media
Are News Audiences Increasingly Fragmented? A Cross-National Comparative Analysis of Cross-Platform News Audience Fragmentation and Duplication
Political Online Information Searching in Germany and the United States
The filter bubble
Selective Exposure to Information
Will the internet promote democracy? search engines, concentration of online news readership, and e-democracy
Searching for the Next U.S. President
Challenges to Selective Exposure
In Google We Trust
Echo chambers online
The Role of Policy and Party Information in Direct-Democratic Campaigns
The Spiral of Silence and the Internet
Agenda Setting in the Internet Age
Googling Politics
Taming the Information Tide
Taking cues from the government
Filter Bubbles, Echo Chambers, and Online News Consumption
Selective Exposure in the Internet Age
A Turn Toward Avoidance? Selective Exposure to Online Political Information, 2004–2008
(Almost) Everything in Moderation
Motivated Skepticism in the Evaluation of Political Beliefs
A New Era of Minimal Effects? The Changing Foundations of Political Communication
The case for motivated reasoning
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |