DisDataViz

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, ...

As widespread as the problem is, opportunities to glimpse misinformation in action are fairly rare. Most users who generate misinformation do not also share accurate information as well, which makes it difficult to tease out the effect of misinformation itself.

My dataviz journey from medicine to defending democracy

The current COVID-19 pandemic has caused undeniable damages in varying sectors throughout the world, from healthcare, to economy, to education and politics. One of the pressing issues that the spread of this disease has also caused is the corresponding propagation of misinformation and “fake news” on the coronavirus. In response to this, the Sustainable Development Solutions Network (SDSN) Youth Philippines has proudly created and seeks to expand a consolidated and comprehensive Interactive Philippine Dashboard (https://covid19.sdsnyouthph.org/), a one-stop shop for all relevant information on COVID-19, specifically designed to be understood by the youth.

Humans learn about the world by collectively acquiring information, filtering it, and sharing what we know. Misinformation undermines this process. The repercussions are extensive. Without reliable and accurate sources of information, we cannot hope to halt climate change, make reasoned democratic decisions, or control a global pandemic. Most analyses of misinformation focus on popular and social media, but the scientific enterprise faces a parallel set of problems—from hype and hyperbole to publication bias and citation misdirection, predatory publishing, and filter bubbles. In this perspective, we highlight these parallels and discuss future research directions and interventions. There are no new data associated with this article.

Chapter nine of “The Data Detective” / “How To Make The World Add Up” is all about data visualisation – its power, and its pitfalls. The overarching story is about how…

Data visualization helps us better understand the flood of information that is available to us. Check out three helpful #dataviz resources.

A guide to promoting information integrity

There are significant real world harms posed by harmful mis and disinformation. Logically has created an AI powered solution to give government bodies the capabilities they need to address them.

Who’s behind the spread of “Fake News?” On the eve of the 2018 U.S. midterm election, the non-profit research group Knight Foundation analyzed Twitter data to investigate how disinformation spread during the 2016 presidential race. Their study—which included more than 10 million tweets from 700,000 Twitter accounts—found sobering statistics. With social media only continuing to grow in influence and specious activity showing no signs of slowing, Knight Foundation’s findings were urgent. They hired Accurat to help bring them to life for voters.

We've created a list of the 25 best data visualization examples from 2020. Gather inspiration for your next data visualization or infographic.

How do COVID-19 skeptics use public health data and social media to advocate for reopening the economy and against mask mandates?

The answer to this one is easy – you read Tim Harford’s book: “How to Make the World Add Up” *. But it’s only fair that I give a little bit more of a detailed answer, …

Although data visualization has been around as long as the written word, common mistakes in presenting data persist. Avoid these five common mistakes.

What we gain when we think beyond spike maps, choropleths, and curvy case charts

This article explores some of the worst and best visualizations out there, and looks at some data visualization mistakes to avoid.

Chapter nine of “The Data Detective” / “How To Make The World Add Up” is all about data visualisation – its power, and its pitfalls. The overarching story is about how…

My dataviz journey from medicine to defending democracy