Computer-supported collaborative accounts of major depression: Digital rhetoric on Quora and Wikipedia

Rughiniș, Cosima; Humă, Bogdana; Matei, Ştefania; Rughiniș, Răzvan

doi:10.1109/cisti.2014.6876968

Cited by 3 publications

(2 citation statements)

References 12 publications

(17 reference statements)

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“…Topics are grouped around searchable user questions and corresponding answers may get promoted or demoted by other users. Researchers agree that question and answer platforms are inherent in community and network perspectives (Rughinis ¸, Hum a, Matei, & Rughinis ¸, 2014), potentially serving as a knowledge reference (Ovadia, 2011). Question and answer websites provide an ideal ecosystem for consumers of health information when they seek experiential information from other users for a quick solution to the health care concerns they have (Prybutok & Ryan, 2015).…”

Section: Introductionmentioning

confidence: 99%

Examining social media communication about childhood vaccination: An analysis using question‐answer data from Quora

Lee

2020

Proc Assoc Inf Sci Technol

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In this project, we conducted a quasi‐experimental study to demonstrate the effects of “answerer's profession (IV1)” and “factual arguments in the answer (IV2) on the “user's promotion for healthcare answers (DV)”. The data was collected from Quora based on a question about childhood vaccination. Findings suggest that the number of upvotes given to answers by healthcare professional versus those provided by lay users depends upon whether their answers contain factual arguments or not, F(1, 96) = 5.229, p < .05. Generally, answers provided by healthcare professionals received higher upvotes than those provided by answerers who are not healthcare professionals. Also, when there were factual arguments in the answers, they received more upvotes than answers without them.

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Section: Introductionmentioning

confidence: 99%

Examining social media communication about childhood vaccination: An analysis using question‐answer data from Quora

Lee

2020

Proc Assoc Inf Sci Technol

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“…Community question answering (CQA) is a type of information retrieval were user need from the community is given in the form of natural language question and community response is in the form of natural language answer. The great success of CQA leads to programming wizards like stackoverflow.com [1], Quora a place for knowledge sharing [2], [3], yahoo answers [4], zhihu [5] etc. Many users register with CQA and only a few are active.…”

Section: Introductionmentioning

confidence: 99%

AnswerRank: Identifying Right Answers in QA system

Geerthik

Venkatraman

2016

IJECE

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Ranking of answers in Community CQA (CQA) is most important task in finding best answer, which depends on type of question and relevance of answer to the question. If a question is posted in a CQA site it will get multiple answers in different views. It is the responsibility of a CQA system to identify best answers and make them display as top answers. For identifying the best answers different ranking techniques for finding the top answers are used. The main two problems we identify in the CQA sites are most of the best answers identified by CQA sites are from the users who had many followers. Also if a question is posted and if the best answer is written by a user late after many answers, the probability of the answer to be get ranked as top answer with highest upvotes is very less. This paper describes AnswerRank a method to rank the answers provided by the users in CQA sites. The AnswerRank method of ranking treats users with more followers and less followers equally. Also the answer written at various time intervals by different users are also treated equally. Only ranking is based on quality of answers. We compare AnswerRank method with existing ranking methods .The experimental results shows that our approach is best method in ranking Community CQA sites.

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Reward rank: A novel approach for positioning user answers in community question answering system

Geerthik

Venkatraman

Gandhi

2016

2016 International Conference on Information Communication and Embedded Systems (ICICES)

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Computer-supported collaborative accounts of major depression: Digital rhetoric on Quora and Wikipedia

Cited by 3 publications

References 12 publications

Examining social media communication about childhood vaccination: An analysis using question‐answer data from Quora

Examining social media communication about childhood vaccination: An analysis using question‐answer data from Quora

AnswerRank: Identifying Right Answers in QA system

Reward rank: A novel approach for positioning user answers in community question answering system

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