Rostock auf Twitter - Geolokalisation und Auswertung von Tweets mit Bezug zur Hanse- und Universitätsstadt Rostock / Rostock on Twitter - Geolocalisation and Evaluation ofTweets Related to the City of Rostock

Ferdinand Vettermann, R. Bill
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Abstract

The presented method is able to locate tweets at a local scale in a region, where the activity in social networks is relatively sparse. A total of 29771 tweets with reference to the city of Rostock and an average accuracy of 83 % could be located over a period of six weeks. The example of the AfD demonstration on 22.09.2018 shows, that individual events can be tracked in near real time. This can be a source of essential additional information in various areas from event management to disaster control. But it is also possible to derive information about social-cultural hotspots on a larger scale, which can be used, for example, for urban and environmental planning. Especially the textual meta information contained in the tweets is of great importance. For example, conclusions can be drawn about political positions, topics or moods.
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罗斯托克在推特上关于河畔和大学城市罗斯托克/罗斯托克的地质学分析和评价
所提出的方法能够在社交网络活动相对稀疏的区域内以局部尺度定位tweet。在六周的时间里,总共有29771条关于罗斯托克市的推文,平均准确率为83%。2018年9月22日德国另类选择党示威的例子表明,个人事件可以被近乎实时地跟踪。这可以作为从事件管理到灾难控制等各个领域的重要附加信息的来源。但是,也有可能在更大的范围内获得社会文化热点的信息,例如,这些信息可以用于城市和环境规划。特别是tweets中包含的文本元信息非常重要。例如,可以得出关于政治立场、话题或情绪的结论。
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来源期刊
AGIT- Journal fur Angewandte Geoinformatik
AGIT- Journal fur Angewandte Geoinformatik Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
0.60
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