Sollte es jemals eine gute Debattenkultur auf Twitter gegeben haben, so ist davon nicht mehr viel übrig. Es wird gescreenshottet, verkürzt und gehetzt – von Menschen, die sich eigentlich für die Guten halten. Die Grenzen zum Mobbing sind dabei häufig fließend, meint Matthias Schwarzer.
This article provides an introduction to the use of altmetrics as a tool to assess research impact. In particular, it looks at the evidence behind claims that altmetrics allow the impact of research to be measured in days rather than years. Low correlations between altmetrics and article citations make it doubtful that altmetrics can reliably predict future citations. In addition, there are good reasons to qualify statements that altmetrics measure the wider impact of research on society. Librarians should be careful not to overstate the value of altmetrics when recommending their use as a complement to more traditional measures of research quality.
S. Wildemann, C. Niederée, and E. Elejalde. Proceedings of the ACM Web Conference 2023, page 2754–2764. New York, NY, USA, Association for Computing Machinery, (2023)
S. Hakimov, G. Cheema, and R. Ewerth. Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022, page 756--760. Association for Computational Linguistics, (2022)
M. Alam, M. Kaschura, and H. Sack. Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), Globally online, November 1-6, 2020 (UTC), volume 2721 of CEUR Workshop Proceedings, page 64--69. CEUR-WS.org, (2020)
M. Chatti, M. Guesmi, L. Vorgerd, T. Ngo, S. Joarder, Q. Ain, and A. Muslim. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 254-264. ACM, (July 2022)Several detail-levels of explanations and their match to individual differences.
J. Weng, E. Lim, J. Jiang, and Q. He. Proceedings of the Third ACM International Conference on Web Search and Data Mining, page 261–270. New York, NY, USA, Association for Computing Machinery, (2010)
K. Joseph, P. Landwehr, and K. Carley. Social Computing, Behavioral-Cultural Modeling and Prediction, page 75--83. Cham, Springer International Publishing, (2014)
F. Alam, U. Qazi, M. Imran, and F. Ofli. (2021)cite arxiv:2104.03090Comment: Accepted in ICWSM-2021, Twitter datasets, Textual content, Natural disasters, Crisis Informatics.
S. Linek, C. Hoffmann, and R. Jäschke. Proceedings of the 14th International Technology, Education and Development Conference, page 1009--1018. IATED, (March 2020)
S. Rosenthal, N. Farra, and P. Nakov. (2019)cite arxiv:1912.00741Comment: sentiment analysis, Twitter, classification, quantification, ranking, English, Arabic.