activity
20182026
most citedA Fused Large Language Model for Predicting Startup Success

39 citations · 50 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SI2026★ 1 cited

Consensus Stability of Community Notes on X

Yuwei Chuai, Gabriele Lenzini, Nicolas Pröllochs

Community-based fact-checking systems, such as Community Notes on X (formerly Twitter), aim to mitigate online misinformation by surfacing annotations judged helpful by contributor…

cs.SI2025

TikTok Rewards Divisive Political Messaging During the 2025 German Federal Election

Kirill Solovev, Chiara Drolsbach, Emma Demirel +1

Short-form video platforms like TikTok reshape how politicians communicate and have become important tools for electoral campaigning. Yet it remains unclear what kinds of political…

cs.SI2025★ 1 cited

References to unbiased sources increase the helpfulness of community fact-checks

Kirill Solovev, Nicolas Pröllochs

Community-based fact-checking is a promising approach to address misinformation on social media at scale. However, an understanding of what makes community-created fact-checks help…

cs.LG2024★ 39 cited

A Fused Large Language Model for Predicting Startup Success

Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs

Investors are continuously seeking profitable investment opportunities in startups and, hence, for effective decision-making, need to predict a startup's probability of success. No…

cs.SI2024★ 5 cited

Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media

Yuwei Chuai, Anastasia Sergeeva, Gabriele Lenzini +1

Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally afte…

cs.SI2022

Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media

Kirill Solovev, Nicolas Pröllochs

While false rumors pose a threat to the successful overcoming of the COVID-19 pandemic, an understanding of how rumors diffuse in online social networks is - even for non-crisis si…

cs.CL2019★ 1 cited

The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Review helpfulness serves as focal point in understanding customers' purchase decision-making process on online retailer platforms. An overwhelming majority of previous works find…

cs.CL2018★ 3 cited

Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews. In contrast to previous works, our analysis thereby sheds light o…

cs.CL2018

Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation

Stefan Feuerriegel, Nicolas Pröllochs

This paper provides a holistic study of how stock prices vary in their response to financial disclosures across different topics. Thereby, we specifically shed light into the exten…