This paper investigates the impact of curation algorithms through the lens of stock market dynamics. By innovatively incorporating the dynamic interactions between social media platforms, investors, and stock markets, we construct the Social-Media-augmented Artificial Stock marKet (SMASK) model under the agent-based computational framework. Our findings reveal that curation algorithms, by promoting polarized and emotionally charged content, exacerbate behavioral biases among retail investors, leading to worsened stock market quality and investor wealth levels. Moreover, through our experiment on the debated topic of algorithmic regulation, we find limiting the intensity of these algorithms may reduce unnecessary trading behaviors, mitigates investor biases, and enhances overall market quality. This study provides new insights into the dual role of curation algorithms in both business ethics and public interest, offering a quantitative approach to understanding their broader social and economic impact.

While the popularity of non-fungible tokens (NFTs) has brought signiffcant proffts, legal practitioners have been exposed to unanswered legal concerns behind the frenzy of NFT transactions. Generally, such concerns include those related to the applicability of copyright to NFTs, the legal relationship between an NFT and the tokenized work, and the copyrights associated with the NFT in transactions. TTe Hangzhou Internet Court released the ffrst NFT-related copyright case, setting a course for the subsequent judicial and business practice of IP-related NFTs nationally and internationally. With these general considerations in mind, the paper brieffy introduces what non-fungible tokens are and how they relate to copyright law. Speciffcally, by interpreting the ffrst NFT-related copyright decision in detail, the paper addresses the legal status of NFT and NFT transactions from the perspective of Chinese Copyright Law, with particular focus on the liability of online platforms and the applicability of the exhaustion doctrine.

This paper examines the impact of the rating of equity crowdfunding platforms in China on funding campaign success. We gather information from 2014 to 2021 on 583 fund raising campaigns. Our results suggest that campaign success is positively correlated with the reputation of the platforms but especially for the most reputable one. We also show that the level of technological intensity of the industries and services is positively correlated with the amount raised. Overall, our paper suggests that platform ratings provide a valuable signal to investors, especially when projects are risky and when information asymmetry is high.

How does information sharing affect consumers' usage of FinTech credit? Using a unique dataset of ``Buy Now, Pay Later (BNPL)" users from a large digital platform and exploiting a credit reporting policy change, we document that consumers significantly reduce their usage of BNPL credit when the BNPL lender becomes subject to credit reporting regulation. This reduction is more pronounced among borrowers with previous default records, who also become more disciplined in repayment behaviors, than those without such records. The decrease in BNPL usage also leads to a reduction in online consumption, supporting the financial constraint hypothesis. Our results suggest that information sharing can help alleviate overborrowing and overspending, with stronger effects observed among younger borrowers, those who previously consumed more, or those with credit cards. We also highlight the synergies between BNPL lending and Big Tech platforms' ecosystems, which imperfectly substitute for formal enforcement institutions.

We examine the impact of firm-investor communication on ESG issues through investor interactive platforms in Chinese stock exchanges from 2010 to 2022. Our regression analysis finds that increased ESG-based questions from investors and firms’ responses lead to increased stock liquidity, suggesting that investor-firm dialogues beyond financial aspects to include ESG-related themes contribute to greater information transparency. We posit that investors use such communication as a “voice” strategy, advocating firms for enhanced ESG disclosures and performance. This strategy yields a two-fold benefit: it aligns with investors’ ESG objectives and, alternatively, facilitates their exit through improved stock liquidity. Our robustness tests suggest a probable causal relationship between investor engagement on ESG issues and stock liquidity. Moreover, we find that a positive tone in ESG-based communications strengthens this relationship, prompting managers to enhance ESG disclosure transparency in response to investor pressure.

Analyzing data from Chinese online interactive investor platforms, our study reveals that Minority Shareholder Activism (MSA) effectively curtails informed insider trading by voting with their hands or feet, particularly in firms with weaker external monitoring. MSA not only reduces the profitability of insider trading but also encourages firms and regulators to implement stricter ex-post disciplinary measures. Moreover, MSA alleviates the negative impact of insider trading on the stock market by enhancing stock liquidity, increasing stock price informativeness, and reducing crash risk.

This study investigates the impact of investor attention on stock market reactions to ChatGPT using dialogues on the Chinese interactive investor platforms (IIPs). We measure investor attention by the number of investors’ questions toward ChatGPT on the IIPs and categorize the firms’ answers as Investing, Speculative, and Absent. The research reveals positive and statistically significant market reactions surrounding the initial questions that occur before firm responses. Positive abnormal returns are also observed around the initial answer dates, with Investing firms evoking the highest market response, followed by Speculative firms, and Absent firms exhibiting the lowest reactions. Furthermore, positive market reactions persist even as firms modify their ChatGPT involvement statements or face stock exchanges inquiries, suggesting that the stock price upswing may primarily be fueled by ChatGPT-related mania. Our findings imply the potential of ChatGPT fervor: collusion caused by investor attention to ChatGPT and firm’s responses catering to investors.

This paper empirically evaluates the impact of a Government-Initiated Non-Profit Ecommerce Platform (GNEP) on specialty agricultural sales, focusing specifically on Pu’er tea in China. Using a difference-in-differences methodology and a comprehensive panel dataset that covers over 90% of local tea farmers, we uncover a marked substitution effect. The implementation of GNEP leads to an average decline of 11.22% in offline household sales, while online sales see an uptick of 16.88%. Further analysis confirms a universal channel shift from offline to online sales, irrespective of both production levels and tea quality. Contrary to expectations, the overall tea sales volume remains largely stable post-launch. Additionally, premium-quality teas experience a 2.42% price boost online, while regular teas show a 0.40% decrease compared to offline prices. Mechanism analyses further indicate that the increase in online sales is driven primarily by the intensive margin instead of the extensive margin. Although the platform does not significantly expand the number of farmers engaging in online sales, it succeeds in offering a cost-effective avenue for diversifying product offerings and achieving higher prices for premium-quality products. Our study illuminates the transformative role of e-commerce platforms in rural economic development and provides essential insights for policymakers and practitioners.

This paper examines the impact of the rating of equity crowdfunding platforms in China on funding campaign success. We gather information from 2014 to 2021 on 583 fund raising campaigns. Our results suggest that campaign success is positively correlated with the reputation of the platforms but especially for the most reputable one. We also show that the level of technological intensity of the industries and services is positively correlated with the amount raised. Overall, our paper suggests that platform ratings provide a valuable signal to investors, especially when projects are risky and when information asymmetry is high.

This study investigates how digital transformation affects public sentiment toward firms on social media platforms in China. Using 2008-2022 data on Chinese listed companies and multivariate regression analysis, this paper identifies that digital transformation boosts positive online comments and sentiment. This relationship is mediated by gains in total factor productivity from digital initiatives. Moreover, concurrent green transformation positively moderates the effect, amplifying the impact of digital moves on online positive sentiment. Heterogeneous results reveal that the digital transformation effect on online positive sentiment is greater for state-owned, high-tech, and large companies. To our knowledge, this is the pioneering study to examine the linkage between corporate digital transformation and online public sentiment. The findings reveal whether, how, and when digital transformation shape more favorable public sentiment and online buzz. Companies can leverage digitalization, productivity improvements, and green development to foster positive perceptions and enhance their online reputation.