Analyze content from across the web and seven of the most popular social media networks, gathering rich, searchable data on engagement with misinformation narratives, stories, sources, and messages.
Using NewsWhip to research misinformation over extended periods of time
The complex nature of misinformation can make it hard to measure its impact in different topics. Use NewsWhip to research the spread and impact of misinformation in political messaging about candidates, and see dominant narratives in public health topics such as vaccinations.
Deep and long-term research may be done using NewsWhip Analytics or NewsWhip’s API. Use in-depth data to run temperature checks on the health of the overall media ecosystem in a country or location, and precisely measure public engagement on false or partisan narratives about an industry or brand.
Combined with your knowledge of domain topics or locations, NewsWhip data provides nuanced answers to questions such as:
How much of the public’s interaction with the news is with misinformation?
How much of any portion of the media ecosystem is taken up by partisan content or misinformation? Unpack trends by looking at the engagement of sites you know to be reliable vs. sites you know to be malicious actors on a day-to-day basis.
What misinformation narratives are the public engaging with?
By adding together the engagements of known misinformation websites, you can see the level of public interest that misinformation is receiving at any given time, and how that compares to numbers in other time periods of interest.
How much influence do misinfo publishers have in the media landscape?
Measure media output and public interest in specific publishers, and track how that is rising and falling over time compared to other publishers, looking as far back as 2014 for a full context of misinformation influence.
How is public engagement with partisan or misinformation publishers changing over time?
Track the impact of regulatory decisions by governments and platforms to see what effect it has on known misinformation websites over time, both for their output and the public interest they generate.
Using data from the social media intelligence company NewsWhip, NewsGuard found that engagement — meaning likes, shares, or comments on Facebook and Twitter — from the top 100 U.S. news sources on social media nearly doubled from the first eleven months of 2019 compared to the same period in 2020, growing from about 8.6 billion to 16.3 billion reactions.
Data that helps you research misinformation
Search for new and historical articles from over 500,000 web publishers around the world that relate to any misinformation narrative.
Measure the level of public interest in misinformation, accessing the data behind social media interaction with misinformation articles, across seven of the most popular social networks.
Filter by country, domain, topic, and keyword
Precise filtering allows you to explore any topic, across any region, down to a specific publisher so that you can get to the heart of the spread of fake news.
Data from 2014 to present
On top of tracking the spread of misinformation in real time, NewsWhip data goes back to 2014 so you can research historical narratives and their spread over time.
How organisations are using NewsWhip to track misinformation
Provenance is a misinformation project led by Dublin City University Institute for Future Media and Journalism (FuJo), supported by the ADAPT Research Centre for Digital Content Technology at Trinity College Dublin. It is a 3-year project aiming to tackle the issue of “fake news” by tracking and flagging online disinformation spread via social media, backed by €2.4m in funding through the EU’s Horizon 2020 programme.
Provenance uses NewsWhip media and public interaction data, image forensics, and media analytics to record modifications of content and contextualise individual pieces of content with relevant information. This is to protect consumers of news and political information, but also for content creators who want to secure their content against manipulation or unauthorised use.
University of Oxford
The Oxford Internet Institute’s Computational Propaganda Project used NewsWhip data to provide a snapshot view of misinformation in eight key European countries, during the European elections.
They did this by extracting “the five most popular sources” of what they term “junk news” in each language sphere, and then measuring the volume of Facebook interactions with these outlets in the month preceding the European elections, using the NewsWhip Analytics dashboard.
University of Michigan
The University of Michigan School of Information and its Center for Social Media Responsibility use NewsWhip’s media and public interaction data to rank the most popular URLs to support their research into what they call the ‘Iffy Quotient’.
The Iffy Quotient is the fraction of popular URLs that come from ‘iffy’ sites, a whimsical way of referring to sites that often carry misinformation. The team was looking for health metrics that they could measure from the outside, without needing to have data provided by the platforms.
This created an invaluable resource to show just how much information that was untrustworthy in some way was floating around the web.
Rather than relying on the output of misinformation narratives as a measure of its impact, NewsWhip data shows what the public is interested in based on social media interaction, to give a clearer understanding of the impact of misinformation in the modern media ecosystem.
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