Pay-per-Question: Towards Targeted Q&A with Payments
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Online question and answer (Q&A) services are facing key challenges to motivate domain experts to provide quick and high-quality answers. Recent systems seek to engage real-world experts by allowing them to set a price on their answers. This leads to a targeted" Q&A model where users to ask questions to a target expert by paying the price. In this paper, we perform a case study on two emerging targeted Q&A systems Fenda (China) and Whale (US) to understand how monetary incentives affect user behavior. By analyzing a large dataset of 220K questions (worth 1 million USD), we find that payments indeed enable quick answers from experts, but also drive certain users to game the system for profits. In addition, this model requires users (experts) to proactively adjust their price to make profits. People who are unwilling to lower their prices are likely to hurt their income and engagement over time.
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Number of citations to item: 7
- Hua (Jonathan) Ye, Xueping Yang, Xinwei Wang, Theophanis C. Stratopoulos (2021): Monetization Of Digital Content: Drivers Of Revenue On Q&A Platforms, In: Journal of Management Information Systems 2(38), doi:10.1080/07421222.2021.1912934
- Yuanlu Li, Zhaohua Deng, Jiaxin Xue (2024): Why to purchase health knowledge on online platforms? A two-phased SEM-ANN approach, In: Behaviour & Information Technology 4(44), doi:10.1080/0144929x.2024.2344088
- Xiaoxue Shen, Adele Lu Jia, Ruizhi Sun (2019): Cultivating Online: Understanding Expert and Farmer Participation in an Agricultural Q&A Community, In: Communications in Computer and Information Science, doi:10.1007/978-981-15-1377-0_26
- Yuxiang (Chris) Zhao, Xixian Peng, Zhouying Liu, Shijie Song, Preben Hansen (2019): Factors that affect asker's pay intention in trilateral payment‐based social Q&A platforms: From a benefit and cost perspective, In: Journal of the Association for Information Science and Technology 5(71), doi:10.1002/asi.24262
- Yuxiang (Chris) Zhao, Zhouying Liu, Si Chen, Qinghua Zhu (2019): From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms, In: Proceedings of the Association for Information Science and Technology 1(56), doi:10.1002/pra2.56
- Qingfeng Zeng, Wei Zhuang, Qian Guo, Weiguo Fan (2022): What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service, In: Electronic Markets 4(32), doi:10.1007/s12525-022-00588-2
- Jonathan Hua Ye, Cecil Eng Huang Chua (2024): Monetization for Content Generation and User Engagement on Social Media Platforms: Evidence from Paid Q&A, In: IEEE Transactions on Engineering Management, doi:10.1109/tem.2022.3209534