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Filippo Menczer
Predicting the Political Alignment of Twitter Users
Cv
Topical Web Crawlers: Evaluating Adaptive Algorithms
Supervised Machine Learning Bot Detection Techniques to Identify
Right and Left, Partisanship Predicts (Asymmetric) Vulnerability to Misinformation
Article in Press
1Evolving Heterogeneous Neural
Vulnerable to Misinformation? Verifi!
Fake News,” by M
Fake News Detection on Social Media: a Data Mining Perspective
Friendship Prediction and Homophily in Social Media Luca Maria Aiello, Alain Barrat, Rossano Schifanella, C
Combating Fake News: an Agenda for Research and Action May 2017
A Decade of Social Bot Detection∗
Informatics Researchers Throttle Notion of Search Engine Dominance 7 August 2006
Peerj-Cs-119.Pdf
Predicting the Political Alignment of Twitter Users
Osome: the IUNI Observatory on Social Media
Red Bots Do It Better:Comparative Analysis of Social Bot Partisan
Top View
Understanding Fake News Consumption: a Review
Finding Streams in Knowledge Graphs to Support Fact Checking
On the Use of Web Search to Improve Scientific Collections
Arxiv:2005.08141V4 [Cs.SI] 20 Jul 2021 in a Cheaper and Faster Way Than Ever Before
Arxiv:1701.02694V4 [Cs.SI] 10 Jan 2019 More Popular
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
The Spread of Misinformation in Social Media
Recency Predicts Bursts in the Evolution of Author Citations
Algorithmic Detection of Semantic Similarity
Fighting Fake News Workshop Report
Arxiv:2004.14484V2 [Cs.CY] 8 Jun 2020 2018), and Radicalization of Users (Thompson 2011)
Research Challenges of Digital Misinformation: Toward a Trustworthy Web
Jasleen Kaur
Defining and Identifying Sleeping Beauties in Science
Defining and Identifying Sleeping Beauties in Science
How Are Topics Born? Understanding the Research Dynamics Preceding the Emergence of New Areas
Efficient and Scalable Pareto Optimization by Evolutionary Local
The Role of Bot Squads in the Political Propaganda on Twitter
Dissemination of Scholarly Literature in Social Media
Universality of Scholarly Impact Metrics
Mapping a Local Web Domain
Arxiv:2101.07694V3 [Cs.SI] 20 Apr 2021 There Has Been Previous Work Presenting COVID-19 Twit- Achieve Herd Immunity (Aguas Et Al
Social Sciences $€ £ ¥
Discovery and Classification of Twitter Bots
Manipulating the Online Marketplace of Ideas
Measuring Online Social Bubbles Dimitar Nikolov, Diego F.M
Search Engine-Crawler Symbiosis: Adapting to Community Interests
Visualizing Communication on Social Media Making Big Data Accessible
Topical Web Crawlers: Evaluating Adaptive Algorithms
The COVID-19 Infodemic: Twitter Versus Facebook
Growing and Navigating the Small World Web by Local Content
Internalizing Local Context and Scaling up to the Web
Right and Left, Partisanship Predicts (Asymmetric) Vulnerability to Misinformation
Covaxxy: a Collection of English-Language Twitter Posts About COVID-19 Vaccines
News Feature: the Genuine Problem of Fake News,” by M
Quantifying the Effect of Sentiment on Information Diffusion In
Universality of Scholarly Impact Metrics
Quality Versus Quantity in Scientific Impact Arxiv
Indiana University Distinguished Professors Symposium 2020
Bruno Gonçalves, Michael Conover, and Filippo Menczer