Analyzing crowd workers in mobile pay-for-answer q&amp;a

Lee, Uichin; Kim, Ji‐Hyoung; Yi, Eunhee; Sung, Juyup; Gerla, Mário

doi:10.1145/2470654.2470730

Cited by 34 publications

(26 citation statements)

References 23 publications

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“…Answers, Quora) was free and open to the public. Recently, these service providers have recognized the business value of social Q&A sites, and launched new business models to monetize online knowledge (Hsieh, Kraut, & Hudson, ; Lee, Kim, Yi, Sung, & Gerla, ). One of the most popular business models is the tri‐lateral payment‐based social Q&A platform (hereinafter called tri‐lateral Q&A), which has drawn growing attention from both practitioners and researchers.…”

Section: Introductionmentioning

confidence: 99%

From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms

Zhao

Liu

et al. 2019

Proceedings of the Association for Information Science and Tech

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More and more social Q&A platforms are launching new business models to monetize online knowledge. Many users of the traditional free Q&A are gradually adopting the payment‐based Q&A services. Previous studies have focused more on askers' participation behaviors in the free Q&A context, while few of them explored the switching behavior of askers from free‐ to payment‐based Q&A platforms. Based on the push‐pull‐mooring (PPM) model, this paper aims at exploring the influencing factors of askers' switching behavior using the critical incident technique. The classification scheme of the factors that influence the askers' switching behaviors includes 5 categories and 16 subcategories. We also use the entropy‐weight method to calculate the weight of each factor. The findings suggest that the psychological characteristics, cognitive needs, and financial incentives have great impacts on askers' switching behavior in the Q&A context.

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Section: Introductionmentioning

confidence: 99%

From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms

Zhao

Liu

et al. 2019

Proceedings of the Association for Information Science and Tech

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“…altruism is the leading factor, followed by business motives, learning, hobbies, and earning points. In pay-for-answer Q&A sites, researchers have reported that financial incentives and social factors are the key motivators [13,31,32,23]. In this work, we extend the prior studies by identifying unique motivators for local knowledge sharing.…”

Section: Conventional Social Qandamentioning

confidence: 64%

“…category refinement, question routing, and related answer searches. When compared with conventional social Q&A sites [7,23], the overall topic distribution of location-based social Q&A had a higher level of travel and lifestyle information seeking, but a lower level of computer related questions.…”

Section: Leveraging Topical/typological Patternsmentioning

confidence: 90%

Understanding localness of knowledge sharing

Park

Kim

Lee

et al. 2014

Proceedings of the 16th International Conference on Human-Computer Interaction With Mobile Devices &Amp; Services

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In location-based social Q&A, the questions related to a local community (e.g. local services and places) are typically answered by local residents (i.e. who have the local knowledge). In this work, we wanted to deepen our understanding of the localness of knowledge sharing through investigating the topical and typological patterns related to the geographic characteristics, geographic locality of user activities, and motivations of local knowledge sharing. To this end, we analyzed a 12-month period Q&A dataset from Naver KiN "Here" and a supplementary survey dataset from 285 mobile users. Our results revealed several unique characteristics of location-based social Q&A. When compared with conventional social Q&A sites, Naver KiN "Here" had very different topical/typological patterns. Naver KiN "Here" exhibited a strong spatial locality where the answerers mostly had 1-3 spatial clusters of contributions, the topical distributions varied widely across different districts, and a typical cluster spanned a few neighboring districts. In addition, we uncovered unique motivators, e.g. ownership of local knowledge and sense of local community. The findings reported in the paper have significant implications for the design of Q&A systems, especially location-based social Q&A systems.

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“…Specifically, managers should conduct an in-depth user survey, especially for understanding their perception of pricing and reward. Previous studies have also reported that the pricing mechanism greatly influences the askers' and answerers' behaviors (Chen et al, 2010;Hsieh et al, 2010;Jeon & Rieh, 2013;Lee et al, 2013;. Based on the pertinent findings, trilateral Q&A platforms can be designed better in terms of pricing and rewarding strategies.…”

Section: Implications For Practicementioning

confidence: 96%

“…Answers, Quora, and so on) was free and open to the public. Recently, these service providers have recognized the business value of social Q&A sites, and launched new business models to monetize online knowledge (Chen, Ho, & Kim, 2010;Hsieh, Kraut, & Hudson, 2010;Lee, Kim, Yi, Sung, & Gerla, 2013). One of the most remarkable business models is the *Corresponding author Additional Supporting Information may be found in the online version of this article.…”

Section: Introductionmentioning

confidence: 99%

Factors that affect asker's pay intention in trilateral payment‐based social Q&A platforms: From a benefit and cost perspective

Zhao

Peng

Liu

et al. 2019

Asso for Info Science & Tech

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More and more social Q&A platforms are launching a new business model to monetize online knowledge. This monetizing process introduces a more complicated cost and benefit tradeoff to users, especially for askers' concerns. Much of the previous research was conducted in the context of free‐based Q&A platform, which hardly explains the triggers that motivate askers' pay intention. Based on the theories of social exchange and social capital, this study aims to identify and examine the antecedents of askers' pay intention from the perspective of benefit and cost. We empirically test our predictions based on survey data collected from 322 actual askers in a well‐known trilateral payment‐based social Q&A platform in China. The results by partial least squares (PLS) analysis indicate that besides noneconomic benefits including self‐enhancement, social support, and entertainment, financial factors such as cost and benefit have significant influences on the perceived value of using trilateral payment‐based Q&A platforms. More important, we further identify that the effect of financial benefit is moderated by perceived reciprocity belief, and the effect of perceived value is moderated by perceived trust in answerers. Our findings contribute to the previous literature by proposing a theoretical model that explains askers' behavioral intention, and the practical implications for payment‐based Q&A service providers and participants.

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Analyzing crowd workers in mobile pay-for-answer q&a

Cited by 34 publications

References 23 publications

From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms

From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms

Understanding localness of knowledge sharing

Factors that affect asker's pay intention in trilateral payment‐based social Q&A platforms: From a benefit and cost perspective

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