Analyzing the Role of Social Media in Shaping Public Opinion and Public Policy in the Post-Truth Era

Mohamad Maulana Ridzki

UNICIMI - Indonesian Scholar Partners University, Yogyakarta, Indonesia

Email: Maulanaridzki0805@gmail.com

Abstract: This study investigates the mechanisms through which social media platforms contribute to the construction and spread of narratives, examining how these narratives impact public perceptions and policy decisions. By analyzing prominent cases and trends, the research identifies the role of algorithms, user engagement patterns, and content sharing in amplifying selective information and misinformation. The findings reveal how social media’s rapid information dissemination, emotional resonance, and algorithmic filtering can lead to echo chambers, thereby polarizing public opinion and pressuring policymakers to respond to immediate social narratives. This study highlights the importance of critical media literacy and regulatory considerations to mitigate the potential for misinformation in policy formation. Through a mixed-methods approach, combining content analysis and survey data, this research provides insights into the dual role of social media as both a democratizing tool and a source of public disinformation, with significant implications for policymakers and the broader public in fostering informed and transparent governance.

Keywords: Social Media Influence, Public Policy, Algorithmic Filtering, Echo Chambers, Policy Formation, Digital Disinformation.

INTRODUCTION

In recent years, social media has reshaped how people interact, exchange information, and form opinions, becoming an influential force on public opinion and policy worldwide (Li & Chen, 2024; Sipilä et al., 2024). This shift has paralleled the rise of the "post-truth" era, a term referring to a societal condition in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief (Boler & Davis, 2018; Flyvbjerg et al., 2019; Lambrechts et al., 2018). As information flows without traditional media gatekeepers, misinformation and "fake news" thrive, impacting global public discourse (Lazer et al., 2018). Scholars argue that social media’s power to shape reality threatens democratic structures, as citizens rely increasingly on online platforms for news and insights (Chai et al., 2024; Horne, 2021).

In the context of policymaking, social media’s pervasive influence has forced governments to respond to popular, often misinformed, sentiments. This phenomenon is especially pronounced in the post-truth era, where misinformation can influence public behavior and compel policy changes based on public pressure rather than informed decision-making (Bennett & Livingston, 2018; Lewandowsky et al., 2017; Vasist & Krishnan, 2024). For instance, cases like the Brexit campaign and the U.S. elections highlighted how targeted misinformation can sway public opinion and alter political landscapes (Howard et al., 2018; Laketa, 2019). As a result, policymakers must navigate the complexities of public sentiment shaped by often inaccurate or biased online content.

Numerous studies highlight the growing role of social media in political communication and public opinion. For example, Allcott and Gentzkow (2017) explore how misinformation spreads across platforms, demonstrating its reach and impact on public understanding. Additionally, Bruns et al. (2020) discuss the echo chamber effect, where social media users are frequently exposed to content that reinforces their existing beliefs. Despite the abundance of research on social media’s influence on public opinion, limited studies focus on its specific impact on policy decisions, creating an essential gap in the literature. While existing research covers the dynamics of misinformation and echo chambers, less attention is devoted to understanding how these factors directly influence public policy in the post-truth context. Furthermore, most studies focus on individual-level impacts, neglecting how such influences aggregate to affect broader policy processes (Bossetta, 2018). This research intends to fill this gap by linking social media’s role in shaping public perception with its effects on policy formation, providing a comprehensive view of its societal impact.

The urgency of this research stems from the rapid proliferation of social media platforms as primary information sources. Policymakers now face unique challenges as public sentiment, often shaped by social media, pressures them into action (Pyrooz et al., 2024; Zhang et al., 2024). In democracies, where governments are held accountable by public opinion, the risk of enacting policy based on misinformed or manipulated data is high. Addressing this issue is crucial for protecting democratic integrity and ensuring that policies are informed by accurate, reliable information. This study offers a novel approach by examining the intersection of social media, public opinion, and policy through the lens of the post-truth era. Unlike previous studies that isolate the effects of social media on opinion formation, this research explores its systemic impact on policy, thus contributing to both social media and policy studies (Shen & Wu, 2024). By bridging these areas, this study provides fresh insights into how digital platforms influence the policy-making process in an age of information ambiguity.

The primary purpose of this research is to analyze how social media shapes public opinion and how this, in turn, affects policy decisions in the post-truth era. By identifying patterns in social media content, engagement, and user behavior, this study aims to reveal how misinformation or selective information contributes to public pressure on policymakers. Furthermore, it seeks to understand the extent to which social media shapes policy directly or indirectly through its influence on public opinion. This study contributes to the growing body of knowledge on digital media’s impact on governance and public discourse. It advances current research by integrating social media studies with policy analysis, providing a framework for understanding the consequences of a post-truth reality on policy. Policymakers, media professionals, and researchers can benefit from this analysis by gaining deeper insights into the mechanisms through which social media influences public perception and decision-making processes.

The implications of this research are significant for both the public and policymakers. As social media continues to influence public opinion, its effect on policy decisions becomes more pronounced. The findings suggest that policy frameworks need to adapt to the dynamics of social media influence, emphasizing the importance of media literacy and regulatory actions to manage misinformation. By outlining these implications, this study emphasizes the need for proactive measures to safeguard policy integrity in the digital age. In sum, this research aims to provide a comprehensive analysis of the role of social media in shaping both public opinion and policy in the post-truth era. By exploring this intersection, the study underscores the challenges and risks posed by misinformation while proposing strategies to mitigate these risks. As the digital landscape evolves, understanding its impact on democratic processes becomes crucial for fostering transparent, accountable governance.

METHOD

This study adopts a mixed-methods approach, combining quantitative and qualitative research to analyze the role of social media in shaping public opinion and policy. The research focuses on a population comprising social media users who actively engage in political discussions, including citizens, policymakers, and media professionals. The study examines posts, comments, and shared articles related to prominent political events on popular social media platforms such as Twitter, Facebook, and Instagram. This population allows for a comprehensive understanding of how social media content influences both individual opinions and collective policy pressure. For sampling, a purposive sampling technique is employed to select social media accounts and posts that significantly contribute to the spread of political narratives. A sample of 500 high-engagement posts, defined as those with over 1,000 likes, shares, or retweets, is drawn from each platform to represent influential content. Data is collected using content analysis of posts, examining both quantitative elements (such as engagement metrics) and qualitative elements (like tone, framing, and content type). Additionally, surveys are conducted with a sample of 200 social media users from diverse demographics to gather insights on how social media influences their political views and perceived policy relevance. This combination of data sources strengthens the study’s findings and enhances the validity of conclusions.

The primary instruments for this research are a structured coding sheet for content analysis and a standardized survey questionnaire. The coding sheet is used to categorize posts based on themes, sentiment, and framing techniques, while the survey gathers user perceptions on how social media influences their views and expectations of policy action. Data analysis involves descriptive statistics for survey responses and thematic analysis for content data, aiming to identify dominant themes, emotional appeal, and mis/disinformation trends. The results are then triangulated to correlate user perceptions with observed content patterns, providing a well-rounded perspective on social media's impact on public opinion and policy in the post-truth era.

RESULT & DISCUSSION

The data gathered from 500 high-engagement posts across Twitter, Facebook, and Instagram indicate a high prevalence of emotionally charged content, misinformation, and echo chambers around specific political issues. Engagement metrics show that posts with high emotional appeal, especially those invoking anger or fear, had significantly higher shares and interactions than neutral or fact-based content. The survey responses reflect similar patterns, with 68% of participants indicating that emotionally driven posts influence their opinions on policy issues.

Using thematic analysis, we identified three main themes in the data: (1) emotional amplification, where emotionally resonant content dominates; (2) selective exposure, where users consistently engage with content that reinforces their pre-existing beliefs; and (3) misinformation spread, where inaccurate information was frequently shared, often without verification. Quantitative analysis further revealed that posts related to high-stakes policy issues, such as healthcare and national security, showed the highest engagement, underscoring the susceptibility of these topics to misinformationThe data suggest that social media amplifies selective information exposure and facilitates the rapid spread of misinformation, significantly shaping public opinion on policy matters. This is consistent with Bossetta’s (2018) assertion that social media platforms’ design encourages selective engagement, reinforcing user biases. Furthermore, the prevalence of emotionally charged misinformation supports Bruns et al. (2020), who argue that emotionally resonant misinformation spreads faster, reinforcing echo chambers and distorting public discourse.

A key finding is the impact of viral misinformation on public policy discussions. For example, misinformed posts about health policies during the pandemic received extensive engagement, potentially pressuring policymakers to respond based on distorted public sentiment. The data reveal that while accurate information sometimes reaches high engagement, emotionally charged misinformation consistently outperforms it in terms of reach and user interaction, highlighting the challenge policymakers face in discerning public opinion shaped by social media.

These findings align with Allcott and Gentzkow’s (2017) analysis of misinformation's spread on social media, particularly during critical political events. However, our study goes further by examining the downstream effects on policy decision-making. Whereas Allcott and Gentzkow focus primarily on public opinion, this research links these opinion shifts to direct and indirect pressures on policymakers, filling a gap in previous literature. Based on these findings, fostering media literacy is essential. Media literacy programs focusing on critical evaluation of online information could help mitigate the effects of misinformation. Additionally, platform regulations that promote transparency in algorithmic content selection and fact-checking initiatives may help users discern credible sources. By improving content verification and user awareness, these solutions could reduce the spread and impact of misinformation on policy decisions (Wardle & Derakhshan, 2017).

The findings support the agenda-setting theory, which posits that media influences the importance the public places on issues. However, in the social media context, this influence is amplified through algorithmic filtering and user engagement. This is consistent with Bennett and Livingston's (2018) concept of "disinformation order," which highlights how digital platforms disrupt traditional democratic processes by prioritizing user engagement over information accuracy. Our study’s data reinforce this theory, showing how algorithms shape public discourse by promoting content with high engagement rather than factual accuracy. These findings suggest that the post-truth era amplifies social media’s ability to influence public policy through public opinion shaped by emotional and biased content. The role of algorithmic filtering in this process cannot be overstated; by curating content to maximize engagement, social media platforms create an environment where emotionally resonant but potentially misleading content thrives. Policymakers are thus confronted with public sentiment shaped by a distorted reality, posing challenges to policy integrity.

The study highlights a critical need for regulatory and educational approaches to address misinformation in social media. Policymakers should advocate for transparent algorithmic practices that prioritize factual accuracy and discourage the spread of unverified content. Additionally, public media literacy initiatives could empower users to evaluate online information critically. This aligns with Lazer et al. (2018), who emphasize that strengthening digital literacy is essential to combat the adverse effects of misinformation on public policy. This research underscores social media’s powerful role in shaping public opinion and influencing policy decisions in the post-truth era. The data suggest that emotionally charged misinformation, driven by algorithmic prioritization, distorts public opinion and pressures policymakers to act based on skewed sentiment. Enhancing media literacy, enforcing transparency in content algorithms, and supporting fact-checking mechanisms are essential steps to preserve informed democratic processes. As social media’s influence continues to grow, these measures are crucial for fostering a more accurate and responsible digital public sphere.

CONCLUSION

This research highlights the influential role of social media in shaping public opinion and, consequently, public policy within the post-truth era. The findings reveal that emotionally charged content and misinformation, amplified through social media algorithms, significantly impact public sentiment, which can pressure policymakers to make decisions based on distorted or biased perceptions. This dynamic poses a substantial risk to the integrity of democratic processes, as policies may be formed in response to manipulated or skewed public demands rather than objective, fact-based discussions. Given these insights, future research should delve deeper into specific social media algorithms’ roles in shaping public opinion, exploring ways to enhance algorithmic transparency and accountability. Additionally, examining the effectiveness of media literacy initiatives in improving public resilience to misinformation would provide valuable insights into safeguarding democratic decision-making in an increasingly digital world.

REFERENCES