J. Med. Internet Res. - Using metrics to describe the participative stances of members within discussion forums.

Tópicos

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Resumo

CKGROUND: Researchers using forums and online focus groups need to ensure they are safe and need tools to make best use of the data. We explored the use of metrics that would allow better forum management and more effective analysis of participant contributions.OBJECTIVE: To report retrospectively calculated metrics from self-harm discussion forums and to assess whether metrics add to other methods such as discourse analysis. We asked (1) which metrics are most useful to compare and manage forums, and (2) how metrics can be used to identify the participative stances of members to help manage discussion forums.METHODS: We studied the use of metrics in discussion forums on self-harm. SharpTalk comprised five discussion forums, all using the same software but with different forum compositions. SharpTalk forums were similar to most moderated forums but combined support and general social chat with online focus groups discussing issues on self-harm. Routinely recorded time-stamp data were used to derive metrics of episodes, time online, pages read, and postings. We compared metrics from the forums with views from discussion threads and from moderators. We identified patterns of participants' online behavior by plotting scattergrams and identifying outliers and clusters within different metrics.RESULTS: In comparing forums, important metrics seem to be number of participants, number of active participants, total time of all participants logged on in each 24 hours, and total number of postings by all participants in 24 hours. In examining participative stances, the important metrics were individuals' time logged per 24 hours, number of episodes, mean length of episodes, number of postings per 24 hours, and location within the forum of those postings. Metric scattergrams identified several participative stances: (1) the "caretaker," who was "always around," logged on for a much greater time than most other participants, posting but mainly in response to others and rarely initiating threads, (2) the "butterfly," who "flitted in and out," had a large number of short episodes, (3) two "discussants," who initiated many more discussion threads than anybody else and posted proportionately less in the support room, (4) "here for you," who posted frequently in the support room in response to other participants' threads, and (5) seven "people in distress," who posted many comments in the support room in comparison with their total postings and tended to post on their own threads.CONCLUSIONS: Real-time metrics may be useful: (1) by offering additional ways of comparing different discussion forums helping with their management, and (2) by identifying participative stances of individuals so allowing better moderation and support of forums, and more effective use of the data collected. For this to happen, researchers need to publish metrics for their discussion forums and software developers need to offer more real-time metrics facilities.

Resumo Limpo

ckground research use forum onlin focus group need ensur safe need tool make best use data explor use metric allow better forum manag effect analysi particip contributionsobject report retrospect calcul metric selfharm discuss forum assess whether metric add method discours analysi ask metric use compar manag forum metric can use identifi particip stanc member help manag discuss forumsmethod studi use metric discuss forum selfharm sharptalk compris five discuss forum use softwar differ forum composit sharptalk forum similar moder forum combin support general social chat onlin focus group discuss issu selfharm routin record timestamp data use deriv metric episod time onlin page read post compar metric forum view discuss thread moder identifi pattern particip onlin behavior plot scattergram identifi outlier cluster within differ metricsresult compar forum import metric seem number particip number activ particip total time particip log hour total number post particip hour examin particip stanc import metric individu time log per hour number episod mean length episod number post per hour locat within forum post metric scattergram identifi sever particip stanc caretak alway around log much greater time particip post main respons other rare initi thread butterfli flit larg number short episod two discuss initi mani discuss thread anybodi els post proportion less support room post frequent support room respons particip thread seven peopl distress post mani comment support room comparison total post tend post threadsconclus realtim metric may use offer addit way compar differ discuss forum help manag identifi particip stanc individu allow better moder support forum effect use data collect happen research need publish metric discuss forum softwar develop need offer realtim metric facil

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