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researcher

Emilio Ferrara

Thomas Lord Department of Computer Science, University of Southern California

8 papers hereh-index 6922.6k citations266 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author5

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.SI4
  • cs.HC2
  • cs.AI1
  • cs.CY1
affiliations
  • Thomas Lord Department of Computer Science, University of Southern California
  • Information Sciences Institute, University of Southern California, Los Angeles, CA, United States.
HomepageORCID 0000-0002-1942-2831
same name
  • Emilio Ferrara — 22 papers, h 8
  • Emilio Ferrara — 9 papers, h 3
  • Emilio Ferrara — 9 papers, h 3
  • Emilio Ferrara — 6 papers, h 2
  • Emilio Ferrara — 5 papers, h 2
  • Emilio Ferrara — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2025

The Susceptibility Paradox in Online Social Influence

Luca Luceri, Jinyi Ye, Julie Jiang +1

Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility…

cs.SI2025

Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure

Jinyi Ye, Luca Luceri, Julie Jiang +1

Misinformation proliferation on social media platforms is a pervasive threat to the integrity of online public discourse. Genuine users, susceptible to others' influence, often unk…

cs.SI2024

Tracking the 2024 US Presidential Election Chatter on TikTok: A Public Multimodal Dataset

Gabriela Pinto, Charles Bickham, Tanishq Salkar +3

This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale, resource designed to advance research into political communication and social media dynamics.…

cs.SI2024

Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset

Gabriela Pinto, Charles Bickham, Tanishq Salkar +2

This paper documents our release of a large-scale data collection of TikTok posts related to the upcoming 2024 U.S. Presidential Election. Our current data comprises 1.8 million vi…

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