activity
20162025
most citedSciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

18 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025★ 3 cited

SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions

Panayiotis Smeros, Vincent Emonet, Ruijie Wang +2

The advent of large language models is contributing to the emergence of novel approaches that promise to better tackle the challenge of generating structured queries, such as SPARQ…

cs.CY2022

SciLander: Mapping the Scientific News Landscape

Maurício Gruppi, Panayiotis Smeros, Sibel Adalı +2

The COVID-19 pandemic has fueled the spread of misinformation on social media and the Web as a whole. The phenomenon dubbed `infodemic' has taken the challenges of information vera…

cs.CL2021★ 10 cited

SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking

Panayiotis Smeros, Carlos Castillo, Karl Aberer

This paper describes SciClops, a method to help combat online scientific misinformation. Although automated fact-checking methods have gained significant attention recently, they r…

cs.SI2021★ 3 cited

On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs

Angelika Romanou, Panayiotis Smeros, Karl Aberer

In the era of misinformation and information inflation, the credibility assessment of the produced news is of the essence. However, fact-checking can be challenging considering the…

cs.IR2020★ 6 cited

SciLens News Platform: A System for Real-Time Evaluation of News Articles

Angelika Romanou, Panayiotis Smeros, Carlos Castillo +1

We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about…

cs.IR2019★ 18 cited

SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

Panayiotis Smeros, Carlos Castillo, Karl Aberer

This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies th…

cs.DB2016★ 3 cited

Annex: Radon - Rapid Discovery of Topological Relations

Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros +1

Datasets containing geo-spatial resources are increasingly being represented according to the Linked Data principles. Several time-efficient approaches for discovering links betwee…