B. Cleary, Carlos Gómez Teshima, M. Storey, Leif Singer, Christoph Treude
{"title":"在线软件开发者社区交流的友好度分析","authors":"B. Cleary, Carlos Gómez Teshima, M. Storey, Leif Singer, Christoph Treude","doi":"10.1109/CHASE.2013.6614756","DOIUrl":null,"url":null,"abstract":"Many online communities struggle with conflicts - e.g. between newcomers and elders - at some point. In July 2012, the Stack Exchange organization attempted to assess the overall “niceness” of the Stack Overflow community by rating the “friendliness” of 7,000 comments made on the site over a 4 year period. We performed a deeper examination of the comment dataset published by Stack Exchange. We find a high degree of comment repetition in the Stack Overflow database and suggest some simple heuristics that may help in automatically identifying unfriendly comments, providing managers of developer communities with simple means that could counter hostility.","PeriodicalId":118499,"journal":{"name":"2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analyzing the friendliness of exchanges in an online software developer community\",\"authors\":\"B. Cleary, Carlos Gómez Teshima, M. Storey, Leif Singer, Christoph Treude\",\"doi\":\"10.1109/CHASE.2013.6614756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many online communities struggle with conflicts - e.g. between newcomers and elders - at some point. In July 2012, the Stack Exchange organization attempted to assess the overall “niceness” of the Stack Overflow community by rating the “friendliness” of 7,000 comments made on the site over a 4 year period. We performed a deeper examination of the comment dataset published by Stack Exchange. We find a high degree of comment repetition in the Stack Overflow database and suggest some simple heuristics that may help in automatically identifying unfriendly comments, providing managers of developer communities with simple means that could counter hostility.\",\"PeriodicalId\":118499,\"journal\":{\"name\":\"2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CHASE.2013.6614756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHASE.2013.6614756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing the friendliness of exchanges in an online software developer community
Many online communities struggle with conflicts - e.g. between newcomers and elders - at some point. In July 2012, the Stack Exchange organization attempted to assess the overall “niceness” of the Stack Overflow community by rating the “friendliness” of 7,000 comments made on the site over a 4 year period. We performed a deeper examination of the comment dataset published by Stack Exchange. We find a high degree of comment repetition in the Stack Overflow database and suggest some simple heuristics that may help in automatically identifying unfriendly comments, providing managers of developer communities with simple means that could counter hostility.