Stefano Cresci

Orcid: 0000-0003-0170-2445

Affiliations:
  • National Research Council, Pisa, Italy


According to our database1, Stefano Cresci authored at least 76 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy.
CoRR, 2024

The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit.
CoRR, 2024

Integrity 2024: Integrity in Social Networks and Media.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Toxic Bias: Perspective API Misreads German as More Toxic.
CoRR, 2023

The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media.
CoRR, 2023

User's Reaction Patterns in Online Social Network Communities.
CoRR, 2023

Demystifying Misconceptions in Social Bots Research.
CoRR, 2023

Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol Attack.
CoRR, 2023

Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence.
CoRR, 2023

One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donald.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Cyber Intelligence and Social Media Analytics: Current Research Trends and Challenges.
Proceedings of the Italia Intelligenza Artificiale, 2023

Dynamics of Toxic Behavior in the Covid-19 Vaccination Debate.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald.
Proc. ACM Hum. Comput. Interact., 2022

Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning.
J. Artif. Intell. Res., 2022

Detecting inorganic financial campaigns on Twitter.
Inf. Syst., 2022

Adversarial Machine Learning for Protecting Against Online Manipulation.
IEEE Internet Comput., 2022

The COVID-19 scamdemic: A survey of phishing attacks and their countermeasures during COVID-19.
IET Inf. Secur., 2022

Coordinated inauthentic behavior and information spreading on Twitter.
Decis. Support Syst., 2022

Investigating the difference between trolls, social bots, and humans on Twitter.
Comput. Commun., 2022

The Spread of Propaganda by Coordinated Communities on Social Media.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.
Proceedings of the Disinformation in Open Online Media, 2022

Personalized Interventions for Online Moderation.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

A Survey on Multimodal Disinformation Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MulBot: Unsupervised Bot Detection Based on Multivariate Time Series.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
New Dimensions of Information Warfare
Advances in Information Security 84, Springer, ISBN: 978-3-030-60617-6, 2021

Measuring objective and subjective well-being: dimensions and data sources.
Int. J. Data Sci. Anal., 2021

(So) Big Data and the transformation of the city.
Int. J. Data Sci. Anal., 2021

The coming age of adversarial social bot detection.
First Monday, 2021

Metaverse: Security and Privacy Issues.
Proceedings of the 3rd IEEE International Conference on Trust, 2021

Coordinated Behavior on Social Media in 2019 UK General Election.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Bots in Social and Interaction Networks: Detection and Impact Estimation.
ACM Trans. Inf. Syst., 2020

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System.
Pervasive Mob. Comput., 2020

Misinformation, manipulation, and abuse on social media in the era of COVID-19.
J. Comput. Soc. Sci., 2020

Exploring the relation between festivals and host cities on Twitter: a study on the impacts of Lucca Comics & Games.
J. Inf. Technol. Tour., 2020

Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs.
Decis. Support Syst., 2020

Emergent properties, models, and laws of behavioral similarities within groups of twitter users.
Comput. Commun., 2020

A decade of social bot detection.
Commun. ACM, 2020

Charting the Landscape of Online Cryptocurrency Manipulation.
IEEE Access, 2020

A Survey on Computational Propaganda Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Characterizing Social Bots Spreading Financial Disinformation.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020

New Dimensions of Information Warfare: The Economic Pillar - Fintech and Cryptocurrencies.
Proceedings of the Risks and Security of Internet and Systems, 2020

2019
Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter.
ACM Trans. Web, 2019

On the capability of evolved spambots to evade detection via genetic engineering.
Online Soc. Networks Media, 2019

The Limited Reach of Fake News on Twitter during 2019 European Elections.
CoRR, 2019

Extremist Propaganda Tweet Classification with Deep Learning in Realistic Scenarios.
Proceedings of the 11th ACM Conference on Web Science, 2019

RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter.
Proceedings of the 11th ACM Conference on Web Science, 2019

Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection.
Proceedings of the 11th ACM Conference on Web Science, 2019

Detecting Malicious Social Bots: Story of a Never-Ending Clash.
Proceedings of the Disinformation in Open Online Media, 2019

Enriching Digital Libraries with Crowdsensed Data - Twitter Monitor and the SoBigData Ecosystem.
Proceedings of the Digital Libraries: Supporting Open Science, 2019

Semantically-Aware Statistical Metrics via Weighting Kernels.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Harnessing the Social Sensing Revolution: Challenges and Opportunities.
PhD thesis, 2018

Social Fingerprinting: Detection of Spambot Groups Through DNA-Inspired Behavioral Modeling.
IEEE Trans. Dependable Secur. Comput., 2018

CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing.
Inf. Syst. Frontiers, 2018

On the need of opening up crowdsourced emergency management systems.
AI Soc., 2018

From Reaction to Proaction: Unexplored Ways to the Detection of Evolving Spambots.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Real-World Witness Detection in Social Media via Hybrid Crowdsensing.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

GSP (Geo-Semantic-Parsing): Geoparsing and Geotagging with Machine Learning on Top of Linked Data.
Proceedings of the Semantic Web - 15th International Conference, 2018

2017
Nowcasting of Earthquake Consequences Using Big Social Data.
IEEE Internet Comput., 2017

The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Hybrid Crowdsensing: A Novel Paradigm to Combine the Strengths of Opportunistic and Participatory Crowdsensing.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cross-Media Learning for Image Sentiment Analysis in the Wild.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Exploiting Digital DNA for the Analysis of Similarities in Twitter Behaviours.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Predictability or Early Warning: Using Social Media in Modern Emergency Response.
IEEE Internet Comput., 2016

DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection.
IEEE Intell. Syst., 2016

Social Fingerprinting - or the Truth About You.
ERCIM News, 2016

Impromptu Crisis Mapping to Prioritize Emergency Response.
Computer, 2016

2015
Fame for sale: Efficient detection of fake Twitter followers.
Decis. Support Syst., 2015

A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Geo Data Annotator: a Web Framework for Collaborative Annotation of Geographical Datasets.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Pulling Information from social media in the aftermath of unpredictable disasters.
Proceedings of the 2nd International Conference on Information and Communication Technologies for Disaster Management, 2015

2014
Towards a DBpedia of Tourism: the case of Tourpedia.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Earthquake emergency management by social sensing.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Criticism to Society (As Seen by Twitter Analytics).
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014


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