数据市场可以提高以低价分享社交媒体数据的意愿
Data marketplaces can increase the willingness to share social media data at low prices
AI总结：
本研究通过两项预注册在线实验发现，数据市场能显著提高个人以低价出售X（推特）数据的意愿，且买家类型和隐私保护对此影响不大。
摘要：
生活在后API时代，研究人员在获取社交媒体数据方面面临前所未有的挑战，而用户则担心大型科技公司如何使用他们的数据。数据捐赠提供了一种有前景的替代方案，然而，其可扩展性受到低参与率和高流失率的限制。研究表明，数据市场可能是一个解决方案，但由于将数据视为资产的理论空白，其实现仍具有挑战性。本文考察了数据市场是否能提高个人出售其X（推特）数据包的意愿以及他们愿意接受的最低价格。它还探讨了隐私保护和数据买家类型如何影响这些决策。两项预注册的在线调查实验的结果表明，与数据捐赠相比（取决于处理方式），数据市场使参与者出售其X数据的意愿提高了12至25个百分点，与一次性购买报价相比提高了6.8个百分点。尽管最低可接受价格的差异在统计上不显著，但超过64%的参与者将其价格设定在市场建议范围（0.25至2）内，这远低于先前一次性购买研究中提供的金额。最后，在市场环境中，买家类型和隐私保护措施的加入均未显著影响参与者的出售意愿。
英文摘要：
Living in the Post API age, researchers face unprecedented challenges in obtaining social media data, while users are concerned about how big tech companies use their data. Data donation offers a promising alternative, however, its scalability is limited by low participation and high dropout rates. Research suggests that data marketplaces could be a solution, but its realization remains challenging due to theoretical gaps in treating data as an asset. This paper examines whether data marketplaces can increase individuals willingness to sell their X (Twitter) data package and the minimum price they would accept. It also explores how privacy protections and the type of data buyer may affect these decisions. Results from two preregistered online survey experiments show that a data marketplace increases participants' willingness to sell their X data by 12 to 25 percentage points compared to data donation (depending on treatments), and by 6.8 points compared to onetime purchase offers. Although difference in minimum acceptable prices are not statistically significant, over 64 percentage of participants set their price within the marketplace's suggested range (0.25 to 2), substantially lower than the amounts offered in prior onetime purchase studies. Finally, in the marketplace setting, neither the type of buyer nor the inclusion of a privacy safeguard significantly influenced participants willingness to sell.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
