
This is a dataset of fan fiction works, labeled with any of 4 corresponding triggers warnings and judgements about the reliability of that label. Please finde details in the corresponding publication: https://webis.de/publications.html#wiegmann_2024c Please use the following citation key: @InProceedings{wiegmann:2024c, address = {Berlin Heidelberg New York}, author = {Matti Wiegmann and Benno Stein and Martin Potthast}, booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024)}, editor = {Lorraine Goeuriot and Philippe Mulhem and Georges Qu{\'e}not and Didier Schwab and Giorgio Maria Di Nunzio and Laure Soulier and Petra Galuscakova and Alba Garcia Seco Herrera and Guglielmo Faggioli and Nicola Ferro}, month = sep, publisher = {Springer}, series = {Lecture Notes in Computer Science}, site = {Grenoble, France}, title = {{De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study}}, year = 2024}
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
