Analyzing the friendliness of exchanges in an online software developer community

• Main Authors: CLEARY, Brendan, STOREY, Margaret-Anne, GÓMEZ, Carlos, SINGER, Leif, TREUDE, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8932; https://ink.library.smu.edu.sg/context/sis_research/article/9935/viewcontent/chase13.pdf
• Institution: Singapore Management University

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