activity
20202023
most citedImproving Generalization for Multimodal Fake News Detection

14 citations · 19 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 14 cited

Improving Generalization for Multimodal Fake News Detection

Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth +1

The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-th…

cs.IR2022

MM-Locate-News: Multimodal Focus Location Estimation in News

Golsa Tahmasebzadeh, Eric Müller-Budack, Sherzod Hakimov +1

The consumption of news has changed significantly as the Web has become the most influential medium for information. To analyze and contextualize the large amount of news published…

cs.CL2022★ 2 cited

MM-Claims: A Dataset for Multimodal Claim Detection in Social Media

Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar +3

In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work o…

cs.SI2021

A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods

Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1

Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts. In this paper, we present a comprehensive experimental evaluation and c…

cs.IR2021

GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval

Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack +3

In the context of social media, geolocation inference on news or events has become a very important task. In this paper, we present the GeoWINE (Geolocation-based Wiki-Image-News-E…

cs.SI2021★ 3 cited

On the Role of Images for Analyzing Claims in Social Media

Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack +1

Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness…

cs.CV2020

Ontology-driven Event Type Classification in Images

Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov +2

Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news. So far, only few approaches address image cla…