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
{"title":"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","authors":"Ferdinand Vettermann, R. Bill","doi":"10.14627/537669028","DOIUrl":null,"url":null,"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.","PeriodicalId":36308,"journal":{"name":"AGIT- Journal fur Angewandte Geoinformatik","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AGIT- Journal fur Angewandte Geoinformatik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14627/537669028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.