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researcher

Arash Amini

7 papers hereh-index 325 citations10 works total

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

author position
  • first author2
  • middle author4
  • last author1

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

fields
  • cs.SI5
  • cs.CL1
  • eess.IV1
same name
  • Arash Amini — 6 papers, h 4
  • Arash Amini — 4 papers, h 3
  • Arash Amini — 3 papers, h 3
  • Arash Amini — 1 paper
  • Arash Amini — 1 paper, 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

activity
20232026
most citedHow Media Competition Fuels the Spread of Misinformation

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SI2024★ 1 cited

How Media Competition Fuels the Spread of Misinformation

Arash Amini, Yigit Ege Bayiz, Eun-Ju Lee +3

Competition among news sources may encourage some sources to share fake news and misinformation to influence the public. While sharing misinformation may lead to a short-term gain…

cs.SI2024

CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit

Ashwin Ram, Yigit Ege Bayiz, Arash Amini +2

Fake news threatens democracy and exacerbates the polarization and divisions in society; therefore, accurately detecting online misinformation is the foundation of addressing this…

cs.SI2024

Susceptibility of Communities against Low-Credibility Content in Social News Websites

Yigit Ege Bayiz, Arash Amini, Radu Marculescu +1

Social news websites, such as Reddit, have evolved into prominent platforms for sharing and discussing news. A key issue on social news websites sites is the formation of echo cham…

cs.CL2024

News Source Credibility Assessment: A Reddit Case Study

Arash Amini, Yigit Ege Bayiz, Ashwin Ram +2

In the era of social media platforms, identifying the credibility of online content is crucial to combat misinformation. We present the CREDiBERT (CREDibility assessment using Bi-d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.