27 citations · 74 across the 7 of their papers we have counts for
8 papers
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
Gregor Donabauer, Udo Kruschwitz
Fake news detection has become a research area that goes way beyond a purely academic interest as it has direct implications on our society as a whole. Recent advances have primari…
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts
Juntao Yu, Silviu Paun, Maris Camilleri +4
Although several datasets annotated for anaphoric reference/coreference exist, even the largest such datasets have limitations in terms of size, range of domains, coverage of anaph…
Applying Automatic Text Summarization for Fake News Detection
Philipp Hartl, Udo Kruschwitz
The distribution of fake news is not a new but a rapidly growing problem. The shift to news consumption via social media has been one of the drivers for the spread of misleading an…
Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion
Dimitri Ognibene, Davide Taibi, Udo Kruschwitz +9
Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other…
Information search in a professional context - exploring a collection of professional search tasks
Suzan Verberne, Jiyin He, Gineke Wiggers +3
Search conducted in a work context is an everyday activity that has been around since long before the Web was invented, yet we still seem to understand little about its general cha…
Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering
Tamer Mohamed Abdellatif, Luiz Fernando Capretz
The lessons learned (LL) repository is one of the most valuable sources of knowledge for a software organization. It can provide distinctive guidance regarding previous working sol…
Personalised Query Suggestion for Intranet Search with Temporal User Profiling
Thanh Vu, Alistair Willis, Udo Kruschwitz +1
Recent research has shown the usefulness of using collective user interaction data (e.g., query logs) to recommend query modification suggestions for Intranet search. However, most…
Motivations for Participation in Socially Networked Collective Intelligence Systems
Jon Chamberlain, Udo Kruschwitz, Massimo Poesio
One of the most significant challenges facing systems of collective intelligence is how to encourage participation on the scale required to produce high quality data. This paper de…