Talk to me: foundations for successful individual-group interactions in online communities
By Jaime Arguello, Brian S. Butler, Elisabeth Joyce, Robert E. Kraut, Kimberly S. Ling, Carolyn Penstein Rosé, Xiaoqing Wang. 2006
427 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Samer Faraj
- Robert E. Kraut
- Gerald C. Kane
- Loreen Terveen
- Ann Majchrzak
- Steven L. Johnson
- Moira Burke
- Jure Leskovec
In Sociology and Political Science
- Robert E. Kraut
- Samer Faraj
- Moira Burke
- Ann Majchrzak
- Steven L. Johnson
- Eytan Bakshy
- Gerald C. Kane
- Sara B. Kiesler
Citations in the corpus
- Research Note - The Impact of Community Commitment on Participation in Online Communities (2011, background): “The development of affective CC in members may therefore be an important step that not only engages members in a community’s activities more deeply, but also helps ensure the long-term success of the community by making it more likely that questions will receive responses (Arguello et al. 2006).”
- Synchronous and Asynchronous Discussions: Effects on Cooperation, Belonging, and Affect (2018, background): “Arguello et al. (2006) found that the use emotions words in online discussions increase the likelihood of getting a reply to a post.”
- Knowledge Collaboration in Online Communities (2011, background): “For example, 68% of newcomers to Usenet groups drop out after contributing a single post (Arguello et al. 2006), and only 22% of members of 204 Usenet groups contributed to the community during a 130-day study period (Cummings et al. 2002).”
- Understanding user participation in online communities: A systematic literature review of empirical studies (2015, background): “As long-term participation is important for the survival of a community, motivations for both joining and staying active have been studied (Arguello et al., 2006).”
- Membership Turnover and Collaboration Success in Online Communities: Explaining Rises (2011, background): “The ability to attract and retain members frequently serves as a key metric for success in online communities (e.g., Arguello et al. 2006; Butler 2001; Lazar and Preece 2002; Ma and Agarwal 2007), because a stable group of participants can develop experience working together effectively, develop…”
- Socialization tactics in wikipedia and their effects (2010, background): “For example, 68% of newcomers to Usenet groups never post anything after their first post [3], and a quarter of the members of guilds in the massive multiplayer game World of Warcraft leave their guilds every month even though they are still playing the game [8].”
- Feed me: motivating newcomer contribution in social network sites (2009, background): “Previous research of online discussion groups finds that some initial experiences affect the commitment of newcomers more than that of established members [1], and so we might expect experienced users of social network sites to be less affected.”
- Social Barriers Faced by Newcomers Placing Their First Contribution in Open Source Software Projects (2015, background): “Arguello et al. [1] also analyzed Q&A history and found that on-topic messages and use of vernacular language increased reply likelihood.”
- Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds (2012, background): “In one study, more than two-thirds (68 percent) of newcomers to Usenet groups were never seen again after their first post (Arguello et al. 2006).”
- No country for old members: user lifecycle and linguistic change in online communities (2013, background): “Such conventions affect users’ decisions to actively participate in the community and to contribute content [1, 31, 36] and are closely related to the dynamics of member arrival and departure.”
- Creating, destroying, and restoring value in wikipedia (2007, background): “Researchers have taken advantage of the opportunities created by the large user bases these media have attracted, creating a wide variety of advanced software (e.g., visualization and analysis tools [19, 16], social agents [11], and social navigation aids [23]) and conducting a broad range of empiri”
- Network Exchange Patterns in Online Communities (2011, background): “New participants are more likely to receive replies if they ask questions that are on topic and if they provide some information about themselves (Arguello et al. 2006).”
- Knowledge sharing and yahoo answers: everyone knows something (2008, positive): “Using message level content analysis, Joyce and Kraut [2] [9] studied whether the formulation of a newcomer's post and related responses influenced whether they continue to participate.”