Evaluating the Effect of Enhanced Text-Visualization Integration on Combating Misinformation in Data Story

Zheng, Chengbo; Ma, Xiaojuan

doi:10.1109/pacificvis53943.2022.00023

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…Interventions that target biases and fallacies in narrative visualizations or at the audience level include using textual warnings against assuming that correlation equals causation [28], attaching multiple views to combat visualization mirages [56], adding interactive linking between text and data [55], as well as design alternatives for highlighting the truncation of the vertical axis [12]. Although the visualization community has raised concerns about the role of cherry-picked charts in the spread of misinformation across numerous studies [20,21,32,33], to the best of our knowledge, this is the first work specifically attempting to design interventions against cherry-picking.…”

Section: Interventions Against Fallacies In Data Visualizationsmentioning

confidence: 99%

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Lisnic,

Cutler,

Kogan

et al. 2024

Preprint

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The growing popularity of interactive time series exploration platforms has made visualizing data of public interest more accessible to general audiences. At the same time, the democratized access to professional-looking explorers with preloaded data enables the creation of convincing visualizations with carefully cherry-picked items. Prior research shows that people use data explorers to create and share charts that support their potentially biased or misleading views on public health or economic policy and that such charts have, for example, contributed to the spread of COVID-19 misinformation. Interventions against misinformation have focused on post hoc approaches such as fact-checking or removing misleading content, which are known to be challenging to execute. In this work, we explore whether we can use visualization design to impede cherry-picking—one of the most common methods employed by deceptive charts created on data exploration platforms. We describe a design space of guardrails—interventions against cherry-picking in time series explorers. Using our design space, we create a prototype data explorer with four types of guardrails and conduct two crowd-sourced experiments. In the first experiment, we challenge participants to create cherry-picked charts. We then use these charts in a second experiment to evaluate the guardrails’ impact on the perception of cherry-picking. We find evidence that guardrails—particularly superimposing relevant primary data—are successful at encouraging skepticism in a subset of experimental conditions but come with limitations. Based on our findings, we propose recommendations for developing effective guardrails for visualizations.

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Section: Interventions Against Fallacies In Data Visualizationsmentioning

confidence: 99%

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Lisnic,

Cutler,

Kogan

et al. 2024

Preprint

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“…Further, to deal with complexity issues of [18], Varlamis et al [19] presented a survey on combating and mitigating the propagation of fake news based on the Graph Convolution Networks. Later, the authors in [20] studied the impact of detecting misinformation in data story to reinforce the text credibility. Nevertheless, most of the researchers with their solutions have not involved the fake news detection based on the various technical, economic, and psychological aspects.…”

Section: Scope Of the Surveymentioning

confidence: 99%

Combating Fake News: Stakeholder Interventions and Potential Solutions

et al. 2022

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The fake news "infodemic", facilitated by social media and mobile message sharing platforms, has progressed from causing a nuisance to seriously impacting law and order through deliberate and large-scale manipulation of public sentiments. There are social, religious, political, and economic dimensions to the fake news phenomenon, providing enough motivation for interested parties to push biased opinions, claims, conspiracies and fraud to many naïve information consumers. The ease with which fake news can be created and propagated makes it extremely challenging to detect and mitigate. To combat the fake news, the researchers have utilized mechanisms which are largely based on Artificial Intelligence (AI) algorithms and social network analysis. However, no viable solution has yet been deployed at a scale. This paper present a comprehensive survey on combating fake news and evaluates the challenges involved in its detection with the help of existing detection mechanisms and techniques to control its spread. The challenges associated with combating fake news have been addressed based on the various aspects such as psychological, economic, and technical. Furthermore, we consider the fake news combat spectrum to analyze the stakeholder interventions due to the spread of fake news. Finally, various technologybased solutions have been presented for combating fake news and the associated future challenges and opportunities.

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Visually Reporting Geographic Data Insights as Integrated Visual and Textual Representations

Beck,

Latif

2023

Volunteered Geographic Information

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Geographic information volunteered by the public is usually also of public interest. However, just publishing the data is not enough to make the data accessible and usable for the public. The raw data might need to be abstracted and interpreted, as well as visually presented to be understandable to non-experts. To address this, we propose interactive visual reporting solutions that leverage natural language and visualizations for geo-related data. We present these reports as interactive documents, but also in other media such as virtual reality environments. First, we have studied the interplay of textual and visual content in such reports. To ease the creation of content, we have developed solutions for authoring interactive documents with a close linking of textual contents and visually presented data. Moreover, we propose automatic report generation approaches that specifically support the exploration of the geo-related data starting from an explanatory summary.

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Evaluating the Effect of Enhanced Text-Visualization Integration on Combating Misinformation in Data Story

Cited by 6 publications

References 42 publications

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers

Combating Fake News: Stakeholder Interventions and Potential Solutions

Visually Reporting Geographic Data Insights as Integrated Visual and Textual Representations

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