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Comparing the Usage of Russian-and Ukrainian-Derived Search Terms to Evaluate the Impact of Misinformation, Disinformation, and Propaganda in the US
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Why Education Predicts Decreased Belief in Conspiracy Theories
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Time spent online: Latent profile analyses of emerging adults' social media use
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The illusory truth effect leads to the spread of misinformation
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Impact of Russia-Ukraine war attention on cryptocurrency: Evidence from quantile dependence analysis
inferredcites →https://doi.org/10.1016/j.jbusres.2019.12.011openalex-snapshot
Media attention to large-scale corporate scandals: Hype and boredom in the age of social media
inferredcites →https://doi.org/10.1016/j.jpubeco.2014.04.010openalex-snapshot
The cost of racial animus on a black candidate: Evidence using Google search data
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Predicting the direction of stock markets using optimized neural networks with Google Trends
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Why do people believe health misinformation and who is at risk? A systematic review of individual differences in susceptibility to health misinformation
inferredcites →https://doi.org/10.1016/j.techfore.2017.11.009openalex-snapshot
Ten years of research change using Google Trends: From the perspective of big data utilizations and applications
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Nowcasting and forecasting aquaponics by Google Trends in European countries
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The Psychology of Fake News
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Frequency and the conference of referential validity
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Risk and the Republican National Convention: Application of the Novel COVID-19 Operational Risk Assessment
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Google Trends can improve surveillance of Type 2 diabetes
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Google and advertising: digital capitalism in the context of Post-Fordism, the reification of language, and the rise of fake news
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Perceived social presence reduces fact-checking
inferredcites →https://doi.org/10.1073/pnas.2019527118openalex-snapshot
Overconfidence in news judgments is associated with false news susceptibility
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Investigating an Issue–Attention–Action Cycle: A Case Study on the Chronology of Media Attention, Public Attention, and Actual Vaccination Behavior during the 2019 Measles Outbreak in Austria
inferredcites →https://doi.org/10.1080/1369118x.2013.763834openalex-snapshot
STRATEGIC IMAGE MANAGEMENT ONLINE
inferredcites →https://doi.org/10.1080/1461670x.2010.530965openalex-snapshot
THE REUTERS INSTITUTE FOR THE STUDY OF JOURNALISM
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Social Desirability Bias in CATI, IVR, and Web Surveys: The Effects of Mode and Question Sensitivity
inferredcites →https://doi.org/10.1093/poq/nfw006openalex-snapshot
Filter Bubbles, Echo Chambers, and Online News Consumption
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Pylons ablaze: Examining the role of 5G COVID‐19 conspiracy beliefs and support for violence
inferredcites →https://doi.org/10.1111/j.1083-6101.2012.01582.xopenalex-snapshot
What to Tell About Me? Self-Presentation in Online Communities
inferredcites →https://doi.org/10.1111/pops.12797openalex-snapshot
Social and Cognitive Aspects of the Vulnerability to Political Misinformation
inferredcites →https://doi.org/10.1111/spc3.12553openalex-snapshot
Does habit weaken the relationship between intention and behaviour? Revisiting the habit‐intention interaction hypothesis
inferredcites →https://doi.org/10.1126/science.aau2706openalex-snapshot
Fake news on Twitter during the 2016 U.S. presidential election
inferredcites →https://doi.org/10.1142/9789814749411_0047openalex-snapshot
PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA
inferredcites →https://doi.org/10.1145/3184558.3191574openalex-snapshot
Real-time Detection of Content Polluters in Partially Observable Twitter Networks
inferredcites →https://doi.org/10.1145/3447535.3462491openalex-snapshot
Auditing Algorithmic Bias on Twitter
inferredcites →https://doi.org/10.1175/wcas-d-18-0085.1openalex-snapshot
Monitoring of Drought Awareness from Google Trends: A Case Study of the 2011–17 California Drought
inferredcites →https://doi.org/10.1177/14614448211027393openalex-snapshot
More diverse, more politically varied: How social media, search engines and aggregators shape news repertoires in the United Kingdom
inferredcites →https://doi.org/10.1177/14614448231176551openalex-snapshot
In different worlds: The contributions of polarization and platforms to partisan (mis)perceptions
inferredcites →https://doi.org/10.1177/1464884916663625openalex-snapshot
‘Checking’ and googling: Stages of news consumption among young adults
inferredcites →https://doi.org/10.1371/journal.pone.0152802openalex-snapshot
Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News
inferredcites →https://doi.org/10.1371/journal.pone.0165085openalex-snapshot
Dynamic Forecasting of Zika Epidemics Using Google Trends
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14927openalex-snapshot
What Gets Media Attention and How Media Attention Evolves Over Time: Large-Scale Empirical Evidence from 196 Countries
inferredcites →https://doi.org/10.1609/icwsm.v15i1.18127openalex-snapshot
Media Cloud: Massive Open Source Collection of Global News on the Open Web
inferredcites →https://doi.org/10.1787/37186bde-enopenalex-snapshot
Disinformation and Russia’s war of aggression against Ukraine
inferredcites →https://doi.org/10.21037/atm.2017.06.65openalex-snapshot
Direct oral anticoagulants: analysis of worldwide use and popularity using Google Trends
inferredcites →https://doi.org/10.2105/ajph.2018.304567openalex-snapshot
Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate
inferredcites →https://doi.org/10.2139/ssrn.2022293openalex-snapshot
The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales
inferredcites →https://doi.org/10.2139/ssrn.4063194openalex-snapshot
The Russian View on the War in Ukraine: Insights from Google Trends
inferredcites →https://doi.org/10.2196/26385openalex-snapshot
Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers
inferredcites →https://doi.org/10.2196/40825openalex-snapshot
State-Level COVID-19 Symptom Searches and Case Data: Quantitative Analysis of Political Affiliation as a Predictor for Lag Time Using Google Trends and Centers for Disease Control and Prevention Data
inferredcites →https://doi.org/10.22323/2.19050202openalex-snapshot
The landscape of disinformation on health crisis communication during the COVID-19 pandemic in Ukraine: hybrid warfare tactics, fake media news and review of evidence
inferredcites →https://doi.org/10.31234/osf.io/x48qsopenalex-snapshot
Why Do People Believe Health Misinformation and Who Is at Risk? A Systematic Review of Individual Differences in Susceptibility to Health Misinformation
inferredcites →https://doi.org/10.3758/s13421-020-01096-4openalex-snapshot
Can confidence help account for and redress the effects of reading inaccurate information?
inferredcites →https://doi.org/10.3758/s13423-019-01651-4openalex-snapshot
Repetition increases perceived truth equally for plausible and implausible statements
inferredcites →https://doi.org/10.5210/fm.v24i8.10166openalex-snapshot
Across the great divide: How today's college students engage with news
inferredcites →https://doi.org/10.7163/gpol.0167openalex-snapshot
Do street status and centrality matter for post-socialist memory policy? The experience of Ukrainian cities
inferredcites →https://doi.org/10.7208/chicago/9780226206981.003.0003openalex-snapshot
Chapter 3 - The Future of Prediction
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