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7 results for “Microblogs”
Forschungsdaten/Visualisierungen zu: "Microblogging in den Informationswissenschaften - Quantitative Untersuchungen exemplarischer Communities auf Twitter"
<p>Dieses Datenset enthält zusätzliche Forschungsdaten zur Bachelorarbeit <a href="https://opus4.kobv.de/opus4-fhpotsdam/frontdoor/index/index/docId/2340">"Microblogging in den Informationswissenschaften - Quantitative Untersuchungen exemplarischer Communities auf Twitter"</a>. Eine genaue Erläuterung der einzelnen Dateien findet in der Arbeit selbst statt. Die hier enthaltenen Personendaten wurden nicht anonymisiert, enthalten jedoch rein öffentlich zugängliche Informationen.</p> <p>Zusätzlich sind hier einzelne Visualisierungen aus der Arbeit im PDF-Format enthalten.</p>
TweetBLM: A Hate Speech Dataset and Analysis of BlackLivesMatter-related Microblogs on Twitter
<p>Collection of BLM related tweets and their corresponding labels of hate speech.</p>
'Twitter Is Dead, Long Live X!' A Decade of Microblog Research and Implications for Knowledge and Research
<p>Talk at the <a href="https://www.digital-philosophy.org/" target="_blank" rel="noopener">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop 2023 (28/09/2023).</p>
Dataset for summarization of microblogs
<p>This is the dataset used in the following paper:<br> Soumi Dutta, Vibhash Chandra, Kanav Mehra, Asit Kumar Das, Tanmoy Chakraborty, Saptarshi Ghosh. Ensemble Algorithms for Microblog Summarization. IEEE Intelligent Systems (Special Issue on Summarization of Things), vol. 33, no. 3, pp. 4--14, May/June 2018. </p> <p>The dataset contains four sets of tweets posted during four different disaster events, and summaries written by three human annotators for each tweet-set. The dataset can be used for evaluating algorithms for microblog summarization. </p> <p>The included README file giving a detailed description of the dataset. </p>
Microblogging violent attacks on medical staff: A case study of the Longmen County People’s Hospital incident, an indication of a health care crisis in China
<p>A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People’s Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China. Using the Sina Weibo’s built-in search tool, we established a dataset of 661 Chinese-language micro-blogs containing the search terms: Longmen (“龙门”), doctor (“医生”), and slash (“砍”) that were posted between July 15, 2015, the date of the violent incident at LCPH, and August 15, 2015. We performed a content analysis of the micro-blogs to examine: users’ demographics, attitudes toward the injured doctor and the attacker, possible reasons for the hospital violence, and proposed measures for preventing doctors from violent incidents. </p>
Retrieval and summarization of microblogs posted after a disaster event: SMERP 2017 dataset
<p>This is the dataset used in the Data Challenge track of the ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (<a href="https://www.computing.dcu.ie/~dganguly/smerp2017/">SMERP 2017</a>).</p> <p>The Data Challenge track was about extracting and summarizing information relevant to a set of practical information needs (topics) that are critical for post-disaster relief operations, such as need and availability of resources, infrastructure damage and restoration, etc. The track used a dataset of tweets / microblogs posted during the August 2016 earthquake in central Italy. Specifically, the data challenge consisted of two tasks:<br> (1) Retrieve the microblogs that are relevant to the given set of topics, and<br> (2) Summarizing the microblogs that are relevant to the given set of topics. </p> <p><br> This dataset can be used to develop algorithms for retrieval and summarization of microblogs that are useful for post-disaster relief operations, in the aftermath of a disaster.</p> <p>For more details, refer to the <a href="https://dl.acm.org/citation.cfm?id=3130338">workshop report.</a></p>
The Koo Dataset: An Indian Microblogging Platform With Global Ambitions
<p>This is the dataset released with the <a href="https://arxiv.org/abs/2401.07599">paper</a> titled "The Koo Dataset: An Indian Microblogging Platform With Global Ambitions". </p> <p>The dataset contains 43 JSON files containing the posts made on the platform, 34 JSON files for the comments, the shares and the likes. It also contains a JSON file for the user profiles. The metadata included in each data type is described in the paper.</p> <p>If you use our dataset, please cite the arXiv version:</p> <p><code>@misc{mekacher2024koo,</code><br><code> title={The Koo Dataset: An Indian Microblogging Platform With Global Ambitions}, </code><br><code> author={Amin Mekacher and Max Falkenberg and Andrea Baronchelli},</code><br><code> year={2024},</code><br><code> eprint={2401.07599},</code><br><code> archivePrefix={arXiv},</code><br><code> primaryClass={cs.SI}</code><br><code>}</code></p>
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