Re-imagining the Power of Priming and Framing Effects in the Context of Political Crowdfunding Campaigns

Algorithmic Transparency & AuditabilityActivism & Political Participation

Title of the Paper

Re-imagining the Power of Priming and Framing Effects in the Context of Political Crowdfunding Campaigns

Bibliographic Information

  • Subject Areas: Human-Computer Interaction (HCI), Political Crowdfunding, Social Psychology
  • Keywords: Political Crowdfunding, Priming Effects, Framing Effects, Charitable Crowdfunding, Partisan Bias, Human-Computer Interaction

Research Background and Issues

  • Identified Problems and Challenges:

    • Political crowdfunding has recently emerged as a novel fundraising method, but its potential social and psychological impacts remain underexplored. Specifically, do the political views expressed on these platforms have a lasting influence on audiences' attitudes toward non-political but partisan topics (e.g., climate change)?
    • Many Americans identify as moderates but may still develop biases toward partisan topics due to recent events.
  • Significance of the Research:

    • Understanding the potential long-term priming effects of political crowdfunding is crucial, as it is not merely a fundraising tool but may also activate partisan identities and exacerbate societal divisions.
    • The effects of discussing political (or partisan) topics in non-political contexts represent an important yet underexplored area of research.
  • Research Motivation:

    • To verify whether political crowdfunding primes audience reactions to partisan topics in non-political contexts.
    • To explore whether framing interventions (e.g., "threat/safety" frames and "schema" frames) can mitigate these effects.

Solutions

Methods and Framework

  • The authors conducted two user studies to investigate:

    1. Study 1: Comparing the influence of priming effects between political crowdfunding and traditional news reporting, particularly on the partisan topic of climate change.
    2. Study 2: Exploring whether two framing techniques (schema framing and threat/safety framing) can alleviate priming effects.
  • Techniques and Methods:

    • Designed and utilized virtual political crowdfunding campaigns and charitable crowdfunding campaigns as experimental materials, ensuring content neutrality and structural balance.
    • Measured user attitudes using quantitative surveys and a 7-point Likert scale, covering five dimensions: donation intention, persuasiveness, empathy, group identification, and comfort level.
    • Employed MANOVA and multivariate regression to analyze interactions between partisan leanings, user groups, and experimental conditions.

Experimental Innovations

  • Focused on political crowdfunding as the primary research subject rather than treating it as a generic fundraising mechanism.
  • Systematically tested long-term priming effects and intervention strategies.
  • Introduced interactive conditions (e.g., a 10-day interval between two experimental stages) to approximate real-world scenarios.

Key Steps

  1. Study 1:
    • Compared attitudes across reference groups (e.g., political crowdfunding vs. news reporting vs. control group).
    • Participants provided feedback on content with inconsistent attitudes and were reassessed 10 days later on charitable crowdfunding campaigns related to partisan topics (e.g., climate change).
  2. Study 2:
    • In the second phase, modified the descriptions of charitable crowdfunding campaigns using framing strategies (schema framing or threat/safety framing) and observed changes in audience responses.

Research Findings

  • Study 1: Long-Term Priming Effects

    • Compared to the control group, audiences exposed to political crowdfunding campaigns with inconsistent attitudes displayed more extreme positions on subsequent partisan topics (e.g., climate change).
    • The priming effect persisted for up to 10 days, with audiences expressing strong attitudes toward similar topics in non-political contexts after exposure to "partisan inconsistency."
  • Study 2: Framing Mitigation Effects

    • Political framing (schema framing and threat/safety framing) significantly reduced negative feedback from participants on topics with inconsistent attitudes.
    • For conservatives, the "safety frame" was the most effective mitigation strategy; for liberals, the "personal achievement frame" demonstrated the highest efficacy.
    • Results indicated that most audiences' political attitudes could be temporarily influenced under specific conditions.
  • Advantages Over Traditional Media

    • Compared to news reporting, political crowdfunding platforms, due to their rich social signals (e.g., real-time donation updates), were more effective in activating partisan identities, with longer-lasting effects.
  • Design Implications:

    • Political crowdfunding platforms can reduce societal divisions through guided design (e.g., social cues and neutral framing).
    • The charitable sector can leverage framing strategies to minimize partisan bias, offering tools for broader fundraising strategies.
  • Limitations and Future Directions:

    • Limitations:
      • Most participants were Amazon Mechanical Turk users, predominantly younger demographics, raising questions about the applicability of findings to older and offline populations.
      • Differences between the experimental virtual scenarios and real-world political election environments may affect external validity.
    • Future Research:
      • Extend the study to multi-party systems (e.g., Canada and the UK) to observe cross-cultural manifestations of framing or priming effects.
      • Investigate other socially sensitive topics (e.g., race, civil rights) on crowdfunding platforms.

Overall Evaluation

This paper not only provides a new perspective on partisan psychology but also offers empirical recommendations for designers and platform managers to optimize content presentation, proactively addressing partisan conflict and societal division.

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https://hci.top/en/papers/chi/68977/2022

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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3502084
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2022
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Algorithmic Transparency & Auditability, Activism & Political Participation
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