Trading as Gambling: Social Investing and Financial Risks on the r/WallStreetBets subreddit

Title of the Paper

Trading as Gambling: Social Investing and Financial Risks on the r/WallStreetBets Subreddit

Paper Information

• Subject Area: Human-Computer Interaction (HCI), Finance, and Social Media Studies
• Keywords: Financial HCI, Investing, Speculation, r/WallStreetBets, Social Media, Gambling, Financial Risks, Social Investing, Individual Investors, Social Emotions

Research Background and Problem

• Problems and Challenges:
  Individual investors face high risks in financial markets mediated by social media. Conversations about high-risk financial trading on social media platforms may lead investors to overlook risks, resulting in financial losses. Particularly in communities like r/WallStreetBets (WSB), investment behavior is often likened to gambling, yet its deeper implications remain poorly understood.
• Significance:
  Against the backdrop of a surge in individual investor participation post-pandemic, understanding how financial discourse on social media influences personal decision-making is urgent, especially for vulnerable groups already at a disadvantage.
• Research Motivation:
  Existing research on financial HCI primarily focuses on financial management and decision-making, with limited exploration of investor behavior on social media. This study aims to fill the research gap regarding "social investing" practices.

Solution

Methods or Solutions

• Method:
  Utilizing "Grounded Theory" (GT) to analyze posts tagged with "YOLO" and their accompanying comments within the WSB community. Such posts typically showcase high-risk investment behavior.
• Innovation:
  This study proposes the theoretical framework of "Trading as Gambling," summarizing the unique culture of the WSB community through three interconnected activities: metaphorizing trading as gambling, collective celebration of gambling behaviors, and normalization of financial losses.
• Implementation Steps:
  1. Data Collection: Collecting 90 YOLO posts and 8,150 comments from the WSB subreddit between May and July 2023.
  2. Data Analysis: Conducting open coding, axial coding, and ultimately focusing on how the WSB community legitimizes the idea of "high-risk trading as gambling" through language and behavior.
  3. Theory Construction: Using GT methods to summarize three thematic frameworks and uncover their intrinsic connections.

Research Findings

Specific Findings

1. Theoretical Contributions:
   • Introducing the "Trading as Gambling" framework, revealing how individual investors in social media environments perceive high-risk investments as gambling, forming a unique social investing approach.
   • Describing how the WSB community reinforces its gambling-oriented investment culture through language and behavior.
2. Phenomena Observed in the WSB Community:
   • Metaphorizing Trading as Gambling:
     Investment behavior is explicitly recognized as gambling, with members frequently using gambling-related terms (e.g., "bets," "casino") to discuss investments.
   • Collective Celebration of High-Risk Trading:
     Community members strongly support and celebrate high-risk investments, often using humor to downplay financial risks.
   • Normalization of Investment Losses:
     Through self-deprecation and collective identity, significant financial losses are viewed as a "community trait," linking members to a shared "identity of financial hardship."
3. Characteristics of Social Investing:
   • The unique linguistic conventions within the community create a distinct culture that reinforces gambling-like behavior and shapes a "collective emotional economy" on social media.
   • Investment activities shift from rational, long-term planning to a "gamified" behavior where money is increasingly treated as a tool for entertainment and emotional expression.

Advantages

• Compared to existing literature, this study delves deeper into the impact of social environments (particularly social media) on investment behavior.
• Provides new perspectives on non-traditional, emotional, and collective investment behaviors.

Limitations and Future Directions

• Limitations:
  The study's data only covers a specific two-month period in 2023 and focuses solely on YOLO-tagged posts, which may not fully represent the overall culture of the WSB community or trends over other time periods.
• Future Directions:
  • Expanding the scope of analysis to include longer time periods and other social media platforms.
  • Conducting interviews and surveys with investors to validate findings.
  • Exploring how design and policy interventions can mitigate financial risks on social media.

Research Implications

• Reforming Financial Literacy Education:
  Encouraging investors to not only understand financial systems and risk management but also develop social media literacy to identify potential risks and avoid misinformation.
• Policy and Platform Design:
  • Social media platforms should clearly label high-risk content to reduce potential harm to users.
  • Investment applications could monitor abnormal trading behaviors and provide intervention strategies, such as incorporating financial co-management features.
• Design Innovations:
  • Developing educational tools that integrate entertainment to improve financial health.
  • Designing interactive systems targeted at high-risk groups to provide timely risk alerts.

Conclusion

• This study systematically reveals how social media shapes individual investors' high-risk trading behaviors for the first time.
• It introduces the theoretical framework of social investing and "Trading as Gambling," providing significant theoretical foundations for the HCI field.
• Emphasizes the complex interplay between technology and socio-economic contexts, calling for attention in the financial HCI field to the impact of social media on financial decision-making and offering design and policy recommendations.