🧑‍🔬 Vivek Sharma

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Subjectivity Detection in English News using Large Language Models (2024 · 7 citations)
   The paper asks whether language models can reliably tell opinionated sentences from factual reporting in news, and whether that ability survives a move to news from different sources and topics.
2. Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda (2026)
   This study asks whether large language models can reliably annotate propaganda, a subjective task where human labels are expensive and inconsistent.
3. The Impact of Highlighting Subjective Language on Perceived News Trustworthiness (2026)
   The paper asks whether pointing out subjective language in news makes readers trust it less. Instead of detecting misinformation automatically, it studies reader perception. The authors took true COVID-19 vaccination articles from the CoAID dataset and filtered them with a fine-tuned RoBERTa subjectivity classifier.…

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Elena Filatova ×3
• Mohammad Shokri ×3
• Sarah Ita Levitan ×3
• Shweta Jain ×3

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis ×3: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026 ×2, Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/vivek-sharma/