The Sense of Misinformation Can Harm Local Community: A Case Study of Community Conflict

This paper introduces the concept of "sense of misinformation"—the mistaken perception that truthful information is false—and demonstrates through a casino proposal case study how this phenomenon, driven by governance miscoordination and communication breakdowns, erodes community trust and democracy, while proposing design strategies to mitigate its harmful effects.

The Gist

Here is an explanation of the paper using simple language and creative analogies.

The Big Idea: It's Not About Fake News, It's About Feeling Like You're Being Lied To

Imagine you are at a neighborhood block party. Someone says, "The new park will have loud music and trash everywhere." You know for a fact that the park plans say it will be quiet and clean. But, because you are already angry about the project, you look at that person and think, "They are lying to us. They are spreading fake news to scare us."

In reality, that person isn't lying. They are just scared, and their fear makes them interpret the facts differently.

This paper calls this feeling the "Sense of Misinformation" (SoM).

Most people talk about "Misinformation" (actual lies or fake news). But this paper argues that something just as dangerous happens when people think they are hearing lies, even when no lies are being told. It's like a ghost in the machine: there is no ghost, but everyone is terrified of it, and that fear destroys the neighborhood.

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The Story: The Casino That Never Was (But Almost Was)

The researchers studied a small town that was being asked to let a casino be built nearby.

• The Government's View: "We checked the numbers. The casino will bring jobs and money. It won't hurt the town."
• The Opponents' View: "Casinos bring crime and addiction! They are hiding the truth from us!"
• The Supporters' View: "The opponents are just crazy and spreading fear-mongering lies!"

Both sides looked at the same facts but saw two different worlds. The opponents thought the government was hiding secrets. The government thought the opponents were making up nonsense.

The Result: The town didn't just disagree; they stopped trusting each other. The neighbors who used to wave hello now looked at each other with suspicion. The "Sense of Misinformation" had turned a policy debate into a war.

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How Did This "Ghost" Appear? (The Three Culprits)

The paper identifies three main reasons why this "Sense of Misinformation" grew so big. Think of them as the three cracks in the foundation of the house.

1. The Rushed Deadline (The "Speed Bump" Problem)

The state government gave the town a very short deadline (six weeks) to decide if they wanted a casino.

• The Analogy: Imagine a teacher handing you a 50-page exam and saying, "You have 10 minutes to finish, or you fail." You panic. You don't have time to read the questions.
• What happened: The town officials had to make a quick decision without much public input. Because they moved so fast, the residents felt like the officials were sneaking the decision in the back door. The residents thought, "They didn't tell us because they were hiding something!" But really, they just didn't have time. That gap in time created the "Sense of Misinformation."

2. The Broken Megaphone (The "Lost Letter" Problem)

The town tried to tell everyone what was happening, but their communication tools were broken.

• The Analogy: Imagine the town sent out a newsletter, but they accidentally threw away the address book. Half the town never got the letter.
• What happened: The government posted info on their website, but the website changed, and people lost their email subscriptions. When residents didn't hear anything, they assumed the government was silent because they were guilty. The government thought, "We told them everything!" The residents thought, "They are ignoring us!" Neither side was lying, but the broken connection made it feel like a lie.

3. The Echo Chamber (The "Two Camps" Problem)

Once people got angry, they stopped talking to each other and only talked to people who agreed with them.

• The Analogy: Imagine two groups of people standing on opposite sides of a canyon, shouting through megaphones. One side yells, "The other side is evil!" The other side yells, "The first side is crazy!" They never meet in the middle.
• What happened: Opponents formed a private Facebook group where they shared scary stories. Supporters did the same. When someone from the "other side" tried to speak, they were told to shut up. People started believing that anyone who disagreed with them was spreading "fake news." They weren't actually spreading fake news; they just had different values. But the anger made them label those differences as lies.

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Why Does This Matter?

The paper says that fighting fake news isn't enough. You can fact-check a lie, but you can't "fact-check" a feeling.

If you tell a scared person, "That's not a lie, here is the data," they might not believe you. They are so convinced that the intent is bad that they reject the facts. This destroys trust. And in a small town, trust is the glue that holds everything together. Without it, you can't solve problems, build things, or even be neighbors.

How Do We Fix It? (The Repair Kit)

The authors suggest some new ways to design our tools and meetings to stop this "Sense of Misinformation":

1. Slow Down the Clock: Give towns more time to decide big things so they don't feel rushed. If the government explains why they are in a hurry, people won't think they are hiding something.
2. The "Feedback Loop": Don't just hold a meeting and walk away. After a town hall, the government should post a list saying, "You said X, and here is how we are thinking about X." It shows people they were heard, even if the answer isn't what they wanted.
3. Humanize the Other Side: Instead of just showing charts, show stories. Let people see that the person opposing the casino is a mom worried about her kids, and the person supporting it is a small business owner worried about rent. When you see the human behind the opinion, it's harder to call them a "liar."
4. The "Pause Button": On social media, maybe we need a tool that gently asks, "Are you sure you want to call this a lie? Or are you just really angry?" It gives people a moment to cool down before they attack.

The Takeaway

Misinformation is a broken fact.
The Sense of Misinformation is a broken relationship.

You can fix a broken fact with a fact-check. But to fix a broken relationship, you need empathy, better communication, and a little bit of patience. If we don't fix the "Sense of Misinformation," our communities will keep fighting ghosts that aren't even there.

Technical Summary

Here is a detailed technical summary of the paper "The Sense of Misinformation Can Harm Local Community: A Case Study of Community Conflict."

1. Problem Statement

The paper addresses a critical gap in Human-Computer Interaction (HCI) and community informatics: the phenomenon where community members perceive information as "misinformation" (falsehoods) even when no actual falsehood exists. The authors term this "Sense of Misinformation" (SoM).

• Context: The study focuses on a contentious local casino development proposal in a small U.S. university town. Casino development often triggers deep value conflicts (economic growth vs. social harm/morality) and uncertainty.
• The Core Issue: In highly polarized civic conflicts, stakeholders (citizens and government officials) often misattribute the other party's arguments, values, or data as "fake news" or lies. This occurs not because the information is factually incorrect, but because it conflicts with the recipient's moral framework or because of a breakdown in trust and communication.
• Consequence: SoM undermines community trust, fractures civic discourse, and hinders democratic decision-making, often leading to a downward spiral of animosity that is distinct from, yet as damaging as, actual misinformation.

2. Methodology

The authors employed a qualitative case study approach to investigate stakeholder information practices during the casino proposal process.

• Setting: A university town in Pennsylvania, USA, selected for its status as a viable casino site and the resulting intense community conflict.
• Participants:
  • 14 Total Participants: 10 citizens (6 opposing, 3 supporting, 1 neutral) and 4 local township officials.
  • Recruitment: Utilized email recruitment from public government records, local social media platforms (Nextdoor, Facebook), and snowball sampling.
• Data Collection:
  • Semi-structured interviews conducted via Zoom between October 2022 and February 2023.
  • Interviews lasted between 29.5 and 84 minutes (average ~49 mins).
  • Topics covered information sources, argument formation, perceptions of bias, communication challenges with government, and views on public hearings.
• Data Analysis:
  • Collaborative coding using Taguette and Miro.
  • Iterative thematic analysis: Researchers independently coded transcripts, met to resolve discrepancies, developed a codebook, and performed axial coding to identify overarching themes.
  • Timeline Reconstruction: A detailed timeline of the casino proposal (2017–2022) was constructed to contextualize interview data.

3. Key Findings & Results

The study identified three primary factors contributing to the development of the Sense of Misinformation (SoM):

A. Miscoordination Governance (State vs. Local)

• Rushed Decision-Making: The state government imposed a tight six-week deadline for the township to "opt-out" of casino development in 2017.
• Invisibility of Process: Due to bureaucratic constraints and the short timeline, the local government made internal decisions with minimal public input.
• Resulting SoM: Residents, unaware of these systemic constraints, interpreted the lack of transparency as intentional concealment by local officials, fostering deep suspicion that information was being hidden or manipulated.

B. Miscommunication (Local Government vs. Citizens)

• Fragile Infrastructure: The township relied on outdated communication channels (website updates, email subscriptions that were lost during transitions).
• Lack of Feedback Loops: Public hearings were perceived as performative. Citizens felt their concerns were ignored, and officials received little direct feedback on whether their factual reports were understood.
• Mutual Misattribution:
  • Citizens viewed government data as biased or "fake" because it didn't align with their lived experiences or moral fears.
  • Officials viewed citizen arguments (often based on anecdotes from other states like Las Vegas) as "misinformation" or "nonsense" driven by fear, even when citizens were expressing valid moral concerns. An official admitted to calling citizen input "misinformation" but later retracted the term, realizing it was a mischaracterization of differing values.

C. Conflict and Breakdown of Civic Discourse (Citizen vs. Citizen)

• Echo Chambers: Opposition groups formed tight-knit online/offline networks (websites, petitions, Facebook groups) to mobilize. Pro-casino citizens felt excluded and intimidated by these groups.
• Polarization: Social media platforms (Nextdoor, Facebook) amplified "Me vs. You" dynamics.
• SoM as a Weapon: Citizens on both sides labeled the other's arguments as "false" not based on fact-checking, but because the arguments violated their moral worldview. For example, a pro-casino citizen labeled a poll showing 80% opposition as "false information" simply because they believed the opposition's moral stance was flawed.

4. Key Contributions

The paper makes three significant theoretical and practical contributions to the HCI and GROUP communities:

1. Conceptual Distinction: It introduces "Sense of Misinformation" (SoM) as a distinct phenomenon from actual misinformation.
   • Misinformation: Objective falsehoods.
   • SoM: The subjective perception of falsehood where none exists, driven by mistrust, value clashes, and communication breakdowns.
2. Differentiated Repair Mechanisms: The paper argues that SoM cannot be fixed by fact-checking (the standard solution for misinformation). Instead, it requires relational repair, self-reflection, and mechanisms to reconcile misattributions of intent.
3. Design Implications for Civic Tech: It proposes specific design strategies to mitigate SoM, moving beyond simple information dissemination to fostering trust and dialogue.

5. Design and Practice Implications

The authors propose a framework for mitigating SoM through three stakeholder relationships:

Stakeholder Relationship	Problem	Proposed Design/Practice Intervention
State vs. Local Gov	Rigid deadlines and one-way communication create suspicion of concealment.	Procedural Flexibility: Create intergovernmental digital platforms for dialogue; allow local governments to negotiate deadline extensions for contentious issues to enable earlier public engagement.
Local Gov vs. Citizens	Lack of feedback and fragile communication infrastructure leads to feelings of being unheard.	Ongoing Feedback Loops: Implement post-hearing feedback mechanisms on government websites to show input is valued. Community Storytelling: Integrate forums for personal narratives alongside factual data to humanize the debate.
Citizen vs. Citizen	Polarized echo chambers and hostile discourse treat disagreement as malice.	Visualizing Opinion: Use 2-D maps with demographic context to help users understand the context of opposing views. Inclusive Forums: Create neutral, community-moderated spaces for cross-cutting dialogue. Prosocial Interaction: Use real-time tools to flag uncivil language and prompt self-reflection before posting.

6. Significance

• Theoretical: This work shifts the focus of misinformation research from "false facts" to "social perception." It highlights that in local communities, the feeling of being lied to can be more destructive than actual lies because it erodes the social capital necessary for conflict resolution.
• Practical: It offers a roadmap for local governments and civic technologists to design systems that prioritize trust-building and empathy over mere information accuracy. It suggests that in polarized environments, the solution is not better fact-checking, but better mechanisms for acknowledging diverse values and repairing broken communication channels.
• Democratic Health: By addressing SoM, the paper argues that communities can prevent the erosion of democratic norms, ensuring that local conflicts remain constructive rather than destructive.