Can You Believe an Anonymous Contributor? On Truthfulness in Yahoo! Answers

Pelleg, Dan; Yom-Tov, Elad; Maarek, Yoelle

doi:10.1109/socialcom-passat.2012.13

Cited by 29 publications

(26 citation statements)

References 17 publications

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“…Moreover, Liu et al [22] explore the factors that influence users' answering behavior in YA (e.g., when users tend to answer and how they choose questions). Pelleg et al [26] investigate truthfulness of users and offer a quantitative proof that users post sensitive and accurate information to fulfill specific information needs.…”

Section: Related Workmentioning

confidence: 99%

Privacy Concerns vs. User Behavior in Community Question Answering

Kayes

Kourtellis

Bonchi

et al. 2015

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

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Community-based question answering (CQA) platforms are crowd-sourced services for sharing user expertise on various topics, from mechanical repairs to parenting. While they naturally build-in an online social network infrastructure, they carry a very different purpose from Facebook-like social networks, where users "hang-out" with their friends and tend to share more personal information. It is unclear, thus, how the privacy concerns and their correlation with user behavior in an online social network translate into a CQA platform. This study analyzes one year of recorded traces from a mature CQA platform to understand the association between users' privacy concerns as manifested by their account settings and their activity in the platform. The results show that privacy preference is correlated with behavior in the community in terms of engagement, retention, accomplishments and deviance from the norm. We find privacy-concerned users have higher qualitative and quantitative contributions, show higher retention, report more abuses, have higher perception on answer quality and have larger social circles. However, at the same time, these users also exhibit more deviant behavior than the users with public profiles.

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Section: Related Workmentioning

confidence: 99%

Privacy Concerns vs. User Behavior in Community Question Answering

Kayes

Kourtellis

Bonchi

et al. 2015

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

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show abstract

“…Moreover, users have few cues on which to rely on in order to assess information quality and credibility (Jeon & Rieh, 2013). A main concern is that answers may contain misinformation and inadequate advice, with potentially serious consequences, especially when dealing with sensitive subjects such as health and sexual behaviors (Henderson, Rosser, Keogh, & Eccleston, 2012;Pelleg, Yom-Tov, & Maarek, 2012;Versteeg, Knopf, Posluszny, Vockell, & Britto, 2009). Thus, although SQA websites offer great opportunities for students, they also pose several challenges in terms of information processing.…”

Section: Introductionmentioning

confidence: 99%

Multiple viewpoints increase students' attention to source features in social question and answer forum messages

Salmerón

Macedo-Rouet

Rouet

2015

Asso for Info Science & Tech

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Social question & answer forums offer great learning opportunities, but students need to evaluate the credibility of answers to avoid being misled by untrustworthy sources. This critical evaluation may be beyond the capabilities of students from primary and secondary school. We conducted 2 studies to assess how students from primary, secondary, and undergraduate education perceive and use 2 relevant credibility cues in forums: author's identity and evidence used to support his answer. Students didn't use these cues when they evaluated forums with a single answer (Experiment 1), but they recommended more often answers from selfreported experts than from users with a pseudonym when multiple sources were discussed in the forum (Experiment 2). This pattern of results suggested that multiple viewpoints increase students' attention to source features in forum messages. Experiment 2 also revealed that primary school students preferred personal experience as evidence in the messages, whereas undergraduate students preferred the inclusion of documentary sources. Thus, while children mimic the adult preference for expert sources in web forums, they treat source information in a rather superficial manner. To conclude, we outline possible mechanisms to understand how credibility assessment evolves across educational levels, and discuss potential implications for the educational curriculum in information literacy.

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“…Anonymous venues online, especially search engines [19] allow people to seek information on sensitive topics. Monitoring such venues can thus offer a window into behaviors which are otherwise difficult to study.…”

Section: Internet Data As a Source For Health Informationmentioning

confidence: 99%

“…Gunn and Lester [19] found a correlation between volume of queries about suicide and actual number of suicides by analyzing search words and phrases like "how to suicide." Hagihara et al [22] conducted a study in Japan that shows how suicide queries spike in the period before there is an increase in suicide rate [24].…”

Section: Internet Search Queries As a Source For Suicide-related Infomentioning

confidence: 99%

How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study (Preprint)

Adler¹,

Cattuto²,

Kalimeri³

et al. 2018

Preprint

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BackgroundIndia is home to 20% of the world's suicide deaths. In India, and around the world, young people are especially at risk of suicide. While statistics regarding suicide in India are distressingly high, data and cultural issues likely contribute to a widespread underreporting of the problem. Social stigma and only recent de-criminalization of suicide are but two factors hampering official agencies' collection and reporting of suicide rates. ObjectiveAs the product of a data collaborative -the cross-sector exchange of data to create new public value -this paper leverages private-sector search engine data toward gaining a fuller, more accurate picture of the suicide issue among young people in India. By combining official statistics on suicide with data generated through search queries, this paper seeks to: 1) add an additional layer of information to more accurately represent the magnitude of the problem; 2) determine whether search query data can serve as an effective proxy for factors contributing to suicide that are not represented in traditional datasets; and 3) consider how data collaboratives built on search query data could inform future suicide prevention efforts in India and beyond. MethodsWe combined official statistics on demographic information with data generated through search queries from Bing to predict suicide rates per state in India as reported by the National Crimes Record Bureau of India.We have extracted English language queries on five topics ("suicide", "depression", "hanging", "pesticide", "poison"). For each query, we recorded the time and date of the query, the state in India from which the user made the query, and the text of the query.We have then collected data on demographic information at state level in India, including: Urbanization, Growth Rate, Sex Ratio, Internet Penetration, Population. We have modeled the suicide rate per state as a function of the queries on each of the 5 topics considered as linear independent variables. We also built a second model by integrating the demographic information on Urbanization, Growth Rate, Sex Ratio, Internet Penetration and Population, all considered as additional linear independent variables in the model. ResultsResults of the first model fit (R 2 ) when predicting the suicide rates from the fraction of queries in each of the 5 topics, as well as the fraction of all suicide methods, show a correlation of about 0.5. The correlation increases significantly with the removal of even 3 outliers, and improves slightly when 5 outliers are removed. In all cases, statistically significant correlation is reached, but the best correlation is obtained for suicide methods (hanging, pesticide, and poison), and only to a lesser extent for depression.Results for the second model fit using both query data and demographic data show that for all categories, if no outliers are removed, demographic data predict suicide rates better than query data. However, when 3 outliers are removed, query data about pesticides or poisons improves the model ov...

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Can You Believe an Anonymous Contributor? On Truthfulness in Yahoo! Answers

Cited by 29 publications

References 17 publications

Privacy Concerns vs. User Behavior in Community Question Answering

Privacy Concerns vs. User Behavior in Community Question Answering

Multiple viewpoints increase students' attention to source features in social question and answer forum messages

How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study (Preprint)

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