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Newspaper, social media, news websites, visuals

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Mascot Levels Up

Multiple categories to choose from

Right n left swipe

Challenge other players + Leaderboard + Avatar/Titles/Medals

Image speed rounds (photoshop images)

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Will have 3-5 stages

Educational short videos about misinformation + 5 ques to pass every stage

Intro to Misinformation

How to tackle it (print/digitally)

Visual Bias

Spotting fake vs real

Introduction to XYZ plugin

Can also introduced in offices as a part of onboarding/induction process (mandatory) and educational level(5/6th standard) as a part of cyber education.

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Instagram and other social media apps follow a specific algorithm to detect interaction among several users to understand which content they like to see the most.

Similarly, an algorithm can be created to weed out fake news and accounts that create/spread fake news.

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Twitter and Facebook already have a specific tab for news. Instagram being one of the most popular social media apps could also add in a new feature specifically for news.

For example, Instagram reels has a specific navigation. One could be created for news which would showcase all news updates under all categories, posted by verified accounts and sources.

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Like instagram's blue tick profiles and the recently introduced verification feature on dating apps like Bumble and tinder, WhatsApp can use the tick to convey that a person is verified, i.e, does not forward fake news to group chats without verifying the information or checking for sources.

Similarly, a rating feature could be introduced to each profile, where any user of whatsapp can review and rate the sender's profile based whether they think the information they sent is accurate

This will encourage people to think critically before forwarding and increases accountability

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Troll Factory shows you first-hand how information operations work on social media. The goal of the game is to illustrate how fake news, emotive content and bot armies are utilized to affect moods, opinions and decision-making.

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The purpose of the game is to immunize the public against misinformation by letting players take on the role of a fake news producer. In the game, players earn "badges",  each of which correspond to common techniques used in the production of fake news, such as polarisation, conspiracy theories, discrediting, trolling, and invoking emotion.

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This game consists in a path that the players have to complete and to be able to complete it, they have to take cards with questions and answer them correctly. https://portfolioleonortrincao.wordpress.com/portfolio/board-game-design/

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based on weird/ridiculous stories that are kind of hard to believe. In the game players will take turns being the news anchor presenting a story to the other players.

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https://www.hangingaroundinprimary.com/2016/03/how-to-use-cereal-boxes-to-teaching-media-literacy.html

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Fake News Monopoly https://www.twinkl.co.in/resource/t2-e-3758-fake-news-monopoly-style-board-game

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Score points for the most hilariously believable headlines using Image and Topic cards for the chosen Audience, because everything else is just FAKE NEWS.

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Practices- Routines and Behaviours

Better education-  better able to distinguish credible sources and stories from their counterparts

Foster a healthy news diet

Nudge others toward a truth-focused mindset

Keep ethics in view when sharing information

Flagging articles they think are deliberately false- One of those steps is the enlisting of the International Fact Checking Network (IFCN), a branch of the Florida-based journalism think tank Poynter. Facebook users in the US and Germany can now flag articles they think are deliberately false, these will then go to third-party fact checkers signed up with the IFCN.

Flagging whole sites as fakes- Le Monde, one of the biggest French newspapers devised a web extension called Decodex- You just put it on your browser and then when you come to a fake news site you get a pop up appearing saying 'warning this is a fake news site’ describing why they think it's not trustworthy.

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Economic Structures- Market, Financing Consumption, Production, Distribution

adaption professional norms to new technologies of distribution

Investment- in technology to find fake news and identify it for users through algorithms and crowdsourcing

High-quality journalism

Fact checking- video verification tool created by Amnesty International users input a YouTube URL, and the tool outputs information about the video that is helpful in verifying a video, nonprofit organizations such as Politifact, Factcheck.org, and Snopes judge the accuracy of leader claims and write stories detailing the truth or lack thereof  of particular developments.

Educational Campaigns- BBC Beyond Fake News Campaign https://www.bbc.co.uk/beyondfakenews/

Database- Fake news on WhatsApp, users can submit uncertain information- create a database of rumours- review rumours in the form of pictures, video links in addition to text

Web Extensions

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Institutional Structures- Rules, Regulations, Power Structure

Media Regulation

Media literacy campaigns

Laws- A state government in India is considering creating legislation aimed at punishing purveyors of online misinformation- specifically doctored photographs.

Law and arrests- database of fake news stories distributed on social media, with records of past offenders

Internet Shutdowns- Wired reported that the Indian government had turned off the internet more than 100 times over the past year to quell the spread of rumors on WhatsApp

Investigation- In December, the Ministry of Electronics and Information Technology released draft changes to the 2000 IT Act that would require social media platforms to start tracing the originators of messages when compelled by the government. The effort is aimed at curbing the spread of unlawful content and misinformation on platforms

A guide to anti-misinformation actions around the world- https://www.poynter.org/ifcn/anti-misinformation-actions/

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Current System- How society is dealing with the issue?

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Current System- How society is dealing with the issue?

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Encourage a culture of doubt and critical thinking. Consider all news possibly fake news. Don't allow yourself to agree with news just because it supports your side.

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Using the media as a catalyst for reintroducing the element of altruism into our communities

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Partner with commonly known Indian brands

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Partner with commonly known Indian brands

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For example, partnering with Hindustan Unilever to run a nationwide fake branding campaign. Use grocery packaging to inform people that news can be fake too, just like your doubt of this product. Create alternate packaging for authentic products that confuse the buyer and also urge them to check the facts to see if it's authentic. Nudging consumers towards the fact-checking habit. Simultaneously, video ads/posters/retail displays/or even the packaging itself can say something like "We're not the only fake creators...verify your news too"

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First Draft is working with Google and Facebook to explore whether they could incorporate code to stop the spread of fake news. Wardle is adamant that tweaking algorithms is not like censorship.
https://www.bbc.com/news/blogs-trending-38769996

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There may be actual solutions to the spread of fake news.

Fake news - from false celebrity gossip to the fabricated story of Pope Francis endorsing Donald Trump - became a huge issue during the US election campaign. Those who peddled falsehoods were motivated sometimes by profit and sometimes by politics.

The third-party fact checkers, says IFCN director Alexios Mantzarlis "look at the stories that users have flagged as fake and if they fact check them and tag them as false, these stories then get a disputed tag that stays with them across the social network."

Another warning appears if users try to share the story, although Facebook doesn't prevent such sharing or delete the fake news story. The "fake" tag will however negatively impact the story's score in Facebook's algorithm, meaning that fewer people will see it pop up in their news feeds.

Mantzarlis says there is as of yet no firm evidence that this actually stops fake news spreading on a large scale, and there are questions over how sustainable the programme might be. Facebook is not paying the IFCN members to provide fact-checking services. There's also nothing stopping the fake news from being posted and spread in the first place - and perhaps quite widely before being tagged.

"There is a lag, so until and unless a story is flagged as false that story does continue to spread on the social network," says Mantzarlis.

In 2009, Le Monde, one of the biggest French newspapers, set up a fact-checking unit called Les Decodeurs (The Decoders). Increasingly the unit is turning its attention to fake news, and they've devised a web extension called Decodex.

"You just put it on your browser and then when you come to a fake news site you get a pop up appearing saying 'warning this is a fake news site'," says Samuel Laurent, editor of Les Decodeurs. "If you click on the tool you will have access to a little paper describing the website and saying why we think it's not trustworthy."

The extension is linked to a database that Les Decodeurs has compiled which ranks sites as "fake", "real" or "satire".

But there are several hurdles which likely prevent a relatively simple piece of software from being the silver bullet for fake news. Users firstly have to be aware of the problem of false stories. They have to know about the extension and be concerned enough to download it. And they have to trust Le Monde journalists and the paper's centre-left perspective.

"We know that we won't convince everyone and we know that fake news readers already think we are the fake news," Laurent says. "Our goal is to just provide this tool for people who are really sceptical or who just don't know who to trust.

"People who have already fallen into the fake news vortex, it's too late for them."

Use algorithms to fight algorithms

Algorithms are part of what spreads fake news - because juicy yet false stories which become popular can be pushed out to new eyeballs by the software that runs social networks. But some programmers think computer code could also be part of the solution.

"From an algorithmic perspective it's possible for social media sites to recognise that website was only created two weeks ago, therefore it's probably likely that this is a less trustworthy site," says Claire Wardle of journalism non-profit First Draft News.

"I'm talking about a bit like a spam folder in your email, those emails still sit there, but you have to go to your spam folder to look for it," she says.

But human language and news stories are complicated in ways that computers have difficulty dealing with, and any automated method of fact checking risks reflecting the biases of the programmers who created it.

"There are some very smart people looking at automated solutions now, around automated fact checking, which can get up to about 80% accurate," Wardle says. "I would argue we are always going to need human eyes at the very end to say 'hang on, have we got entirely duped'... we want a combination of algorithms and human experience."

More on this story

The previous solutions are technical fixes, but Bill Dodd has taken a different tack. His proposal would incorporate digital literacy into school curriculums.

"We already have a curriculum right now that teaches critical thinking skills but it hasn't kept up with the digital age," says Dodd, a Democratic lawmakers who has introduced a bill in the California state senate.

Senator Dodd admits not all the detail has yet been worked out, and it it would be the job of the California Board of Education to update the curriculum, but he has some of what might be included, including "trying to discern what the reputation of different sources are.

"If you are dealing with the BBC or the New York Times, chances are you don't have to go any further, but if you are dealing with some unnamed source, you are going to have to go in a little deeper to determine whether or not that's fact or fiction," he says.

And of course, his solution would take years to implement, and would apply to just one state in one country.

"There's so much news coming at kids, and many adults have this as well, but you got to start somewhere," Dodd says.

More from BBC Trending

During the US election, many fake news stories were written not by politically motivated Donald Trump supporters, but by people looking to make some quick cash. And so one way to stop such output would be to eliminate the financial incentives that make fake news profitable.

"To make any decent money, and a lot of the fake news sites do make decent money, you need to start serving millions of ads," says Cliff Lampe, an associate professor at the University of Michigan, "which is why the viral content market has been so important over the last few years."

But fake news producers, like others making content designed to go viral, are quick to adapt to platform rule changes.

"I think this will work for the moment, but I believe that people are going to be able to come up with a workaround and be able to manipulate that attention market in the future," Lampe says.

Reporting by Harriet Noble and Charlotte Prichard

You can follow BBC Trending on Twitter @BBCtrending, and find us on Facebook. All our stories are at bbc.com/trending.

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Solutions that can stop fake news spreading

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The serious attempts to try to stem the flow of made-up viral stories on Facebook and other social networks.

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Could be perceived as a “tactic”.

Legality of subliminal advertising: how far is too far is not understood (illegal in the UK, America and Australia since 1958.)

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Help an ad, logo, or another piece of marketing appeal to an audience without being pushy.

Subtle yet effective way to boost social media engagement.

Instant effect.

Minimum exposure: regular straightforward ads need to show message/logo 3 times before it is registered, subliminal ads (if done right) need to display the message only once.

High recall value.

Draw upon human emotions.

Minimum spending and long-term returns.

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Subliminal advertising is a form of marketing that uses very intentional messaging, sounds, or visuals to get a specific point across to those viewing the ad. The goal of subliminal advertising is to make the audience walk away from the ad with a specific message in their mind that they didn’t consciously receive from the ad.

Presence of hidden messaging or simply 'pareidolioa' (the phenomenon of the mind perceiving a familiar pattern where none actually exists).

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Provocative Messages: “Hungry? Grab a Snickers”

Logo Design with Hidden Meanings: Amazon logo with smile,arrow,a-z

Symbolic Advertising: LEGO’s campaign that emphasises imagination

Tricky placement of Picture & Text: Used as clickbait, SFX sci-fi magazine covers the F with a model to encourage people to read it as SEX.

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For example, working for Hindustan Unilever to run a nationwide fake branding campaign.

Use FMCG packaging to inform people that news can be fake too, just like your doubt of this product.
Create alternate packaging for authentic products that confuse the buyer and also urge them to check the facts to see if it's authentic.
Nudging consumers towards the fact-checking habit.

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https://beinternetawesome.withgoogle.com/en_us

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https://www.getbadnews.com/#intro

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Free to access for anybody interested on YouTube.

Opinion: They should be watched compulsorily but without seeming pushy or educational.

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“We work to empower society with the knowledge, understanding, and tools needed to outsmart false and misleading information. We bring together a global network of journalists to investigate and verify emerging stories. We work with our partners to conduct innovative research projects and develop pioneering training programs. And we share cutting-edge digital tools to help both content creators and the public make better-informed judgments about the information they encounter online.”
https://firstdraftnews.org/

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Unlock new parts of the app with increased rating

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Unlock new parts of the app with increased rating

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For example, only people with high rating can post stories, or low rating will lead to loss of followers etc etc

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A rating based entirely on the factual accuracy of their past posts. This reliability rating is public, and thus creates an environment where people fight for the value of their reputation and start to feel a sense of ownership over the content they disseminate.

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allow community users to report a post that they believe to be unreliable. This method will help to reveal some unreliable content, but users will also tend to use this method to report content they disagree with, regardless of it’s reliability.

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The forwarding feature can be disables altogether in group chats by the admin, taking up responsibility for his/her group.

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A message could be made private or public by the user. A private message cannot be forwarded to more than 5 people (?) The default setting should be to keep any message private.  Copy paste feature should be disables in private messaging platforms.

Problems:
People can still take screenshots

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Allow users to report forwarded/public messages as misinformation, which can then be reviewed by WhatsApp or volunteers. WhatsApp already reviews spam-related complaints. Users should be able to identify the Sender and/or Message-ID by selecting the message and tapping on the information (i) icon which appears.

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Introduce fact-checking users who will actively help to stop the spread of fake news on a voluntary basis by providing rewards such as badges and coins. He/she can flag forwards as credible or not. Every time they are further forwarded, a red/green flag will also be forwarded with the message informing the consumer of its true nature...

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B(ias)
E(xpert)
A(uthor)
D(ate)
S(ource)

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Brainstorm solutions from different perspectives

White hat – facts and information

Red hat – feelings, intuitions, emotions, and hunches

Balck hats – judgment, legality, morality

Yellow hat – optimism, benefits

Green hat – new ideas, opportunities

Blue hat – conclusions, action plans, next steps

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A(uthor Authentication)
B(ias)
C(onsult Expert)
D(ate)
S(ource verification)

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How critically analyse a piece of information

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How critically analyse a piece of information

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A bit of time, curiosity, persistence, and a critical eye to keep questioning yourself, it is a first and very important step to debunk false information.

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Only solution is to put in cognitive effort, by doing the research, and by questioning the ideas that are put in front of you

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Only solution is to put in cognitive effort, by doing the research, and by questioning the ideas that are put in front of you

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Instead of ordinary road objects, people can guess real vs fake news clips, articles, headlines, deep-fakes, manipulated images etc while signing into e-mail accounts, social media platforms, and private chat platforms or before forwarding messages to multiple people. It could take true or false format also wherein the computer knows the answer but not the why of it... differentiating bots from humans (using their analytical capabilities)

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Market incentives can be modified, either through legal or social mechanisms.

At present, funding incentives favour short-form, national news. We need to develop a system that better funds local journalism and deeply-researched, long- form journalism and even digital journalism.

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Ensuring that whatsapp forwarded messages are not considered as legal proof

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Carefully crafting a WhatsApp campaign and using the current speedy network to disseminate this. It would essentially be an awareness campaign with a poster informing them about the consequences of their actions and need for media-literacy

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Developing media-literacy books for kids

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Developing media-literacy books for kids

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To enable the consumer to learn more about the actors and stakeholders in a given story, better understand their affiliations, and to identify and question unverified details. Critical news consumption could be incorporated into school curriculums or promoted through government-sponsored computer and content literacy tools and training programs.

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Board games to distinguish between Facts & Opinion

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Board games to distinguish between Facts & Opinion

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Existing games are mostly app based and revolve around themes of social media. Hence, they're not suitable for older age groups.

A board game will include family involvement of a lot more age groups (cross-generational)

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Technology gives as well as takes away. People are becoming very sophisticated in their ability to verify video – what natural shadow would be created, how does fur or hair move in chaotic wind events ? But as with cyber-defences, as soon as someone comes up with a verifying algorithm, the same technology is incorporated into ever more sophisticated fakes, so you’re never done.

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EXPLORING THE POSSIBILITY SPACE: PROPOSED SOLUTIONS

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EXPLORING THE POSSIBILITY SPACE: PROPOSED SOLUTIONS

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Builds user understanding about the techniques used for the spread of disinformation.
Glimpse into the mind of the fake news creator rather than receiver.

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Play the fake news game! How bad are you? Become a fake news tycoon and get as many followers as you can.

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The Google Interland (Be Internet Awesome game) is a web-based game

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The Internet Keep Safe Coalition is dedicated to protecting children, families, and schools by assessing, advising, and certifying organizations that collect, use, and share personal information and data that is protected by law.

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Be Internet Awesome is a multifaceted program that includes a fun and free web-based game called Interland and an educational curriculum to teach kids how to be safe and responsible explorers of the online world.

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Free online course offered through PBS that teaches media literacy skills through cartoons.

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Major funding for Ruff Ruffman: Humble Media Genius is provided by the Corporation for Public Broadcasting, The Kendeda Fund, and Google. Funding for our work on Distracted Driving is provided by the Connecticut Department of Transportation's Highway Safety Office.

©2017 WGBH Educational Foundation. All rights reserved. FETCH!, the characters and related indicia are trademarks of the WGBH Educational Foundation. All third party trademarks are the property of their respective owners. Used with permission.

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Ruff Ruffman: Humble Media Genius | PBS KIDS

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Major funding for Ruff Ruffman: Humble Media Genius is provided by the Corporation for Public Broadcasting, The Kendeda Fund, and Google. Funding for our work on Distracted Driving is provided by the Connecticut Department of Transportation's Highway Safety Office. ©2017 WGBH Educational Foundation. All rights reserved.

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for both journalists and for the general public

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Learn how to spot vaccine misinformation and myths

Stay one step ahead of those spreading conspiracies and false claims about vaccines with our free course. Available in: English, Español, Français, Deutsch, Italiano, Português,عربي, 漢語, हिन्दी.

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Training and resources for journalists in an age of disinformation

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Explore a free library of training content provided by First Draft's highly experienced team.

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Free to access for anybody interested on YouTube.
Opinion: They should be made compulsory in schools.

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live fact-checking with the help of machine learning

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Three Duke computer science majors advanced the quest for what some computer scientists say is the Holy Grail in fact-checking this summer.

Caroline Wang, Ethan Holland and Lucas Fagan tackled major challenges to creating an automated system that can both detect factual claims while politicians speak and instantly provide fact-checks.

That required finding and customizing state-of-art computing tools that most journalists would not recognize. A collective fondness for that sort of challenge helped, a lot.

"We had a lot of fun discussing all the different algorithms out there, and just learning what machine learning techniques had been applied to natural language processing," said Wang, a junior also majoring in math.

Wang and her partners took on the assignment for a Data+ research project . Part of the Information Initiative at Duke , Data+ invites students and faculty to find data-driven solutions to research challenges confronting scholars on campus.

The fact-checking team convened in a Gross Hall conference from 9 am to 4 pm every weekday for 10 weeks to help each other figure out how to help achieve live fact-checking, a goal of Knight journalism professor and other practitioners of accountability journalism.

Their goal was to do something of a "rough cut" of end-to-end automated fact-checking: to convert a political speech to text, identify the most "checkable" sentences in the speech and then match them with previously published fact-checks.

The students that Google Cloud Speech-to-Text API was the best available tool t o automate audio transcriptions. They then submitted the sentences to ClaimBuster, a project at the University of Texas at Arlington that the Duke Tech & Check Cooperative uses to identify statements that merit fact-checking. ClaimBuster acted as a helpful filter that reduced the number of claims submitted to the database, which in turn reduced processing time.

They chose Google Cloud speech-to-text because it can infer where punctuation belongs, Holland said. That yields text divided into complete thoughts. Google speech-to-text also shares transcription results while it processes the audio, rather than waiting until translation is done. That speeds up how fast the new text can get moved to the next steps along a fact-checking pipeline.

"Google will say: This is my current take and this is my current confidence that take is right. That lets you cut down on the lag," said Holland, a junior whose second major is statistics.

Their next step was finding ways to match the claims from that speech with the database of fact-checks that came from the Lab's Share the Facts project. (The database contains thousands of articles published by the Washington Post, FactCheck.org and PolitiFact, each checking an individual claim.)

To do that, the students adapted an algorithm that the open-source research outfit OpenAI released in June, after the students started working together. The algorithm builds on The Transformer , a new neural network computing architecture that Google researchers published just six months prior.

The architecture alters how computers organize trying to understand written language. Instead of translating a sentence word by word, The Transformer weighs the importance of each word to the meaning of every other word. Over time that system helps machines discern meaning in more and more sentences more quickly.

"It's a lot more like learning English. You grow up hearing it and your learn it," said Fagan, a sophomore also majoring in math.

Work by Wang, Holland and Fagan is expected to help jumpstart a Bass Connections fact-checking team that started this fall. Students on that team will continue the hunt for better strategies to find statements that are good fact-check candidates, produce pop-up fact-checks and create apps to deliver this accountability journalism to more people.

Tech & Check has $1.2 million in funding from the John S. and James L. Knight Foundation, the Facebook Journalism Project and the Craig Newmark Foundation to tackle that job.

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Duke students tackle big challenges in automated fact-checking - Duke Reporters' Lab

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Three Duke computer science majors advanced the quest for what some computer scientists say is the Holy Grail in fact-checking this summer. Caroline Wang, Ethan Holland and Lucas Fagan tackled major challenges to creating an automated system that can both detect factual claims while politicians speak and instantly provide fact-checks.

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Plugin that shows users the advertisements on their Facebook feeds and guesses which ones have political motive

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Q: What is Project Checkpoint?

A: Checkpoint is a research project at PROTO, commissioned and technically assisted by WhatsApp. It uses a tipline on WhatsApp (+91- 9643-000-888) only as a means to collect information that is otherwise inaccessible given the nature of private messaging. WhatsApp has also contracted Meedan to expand the Check platform and integrate it with the WhatsApp Business API for use in this project, including to help manage the workflow from receipt of a query to sending back its verification report. Dig Deeper Media was contracted to provide consulting on frameworks design for the initiative. Learnings from the project will be shared with the International Center for Journalists for distribution across their global network.

The goal of this project is to study the misinformation phenomenon at scale - natively in WhatsApp - during the Indian elections. As more data flows in, we will be able to identify the most susceptible or affected issues, locations, languages, regions, and more. The verification reports we send back will encourage users to participate in this research as "listening posts" and send more signals for analysis. The final output at the end of four months will help WhatsApp determine next steps against misinformation on the platform.

Q: How is this different from fact-checking services? Will you respond to each message?

A: The Checkpoint tipline is primarily used to gather data for research, and is not a helpline that will be able to provide a response to every user. The information provided by users helps us understand potential misinformation in a particular message, and when possible, we will send back a message to users. We would like to verify every rumor but we know that will not be possible given the diversity of information we will receive and the limitations of any verification research.

When we provide a response to a user, we are providing a verification about the reliability of the original claim. This is not as intensive as the fact-checking that a journalism organization can provide. Here's an excerpt from the Verification Handbook that might help with this distinction:

Fact-checking is a specific application of verification in the world of journalism. Verification is a scientific-like approach to getting the facts ... practiced by many people who are not fact-checkers - or journalists, for that matter.

Q: What are the basic steps to getting help with a rumor?

A: Users can send a rumor - including a text, image, or video link - to the tipline. They will receive a reply that the verification center will be reviewing the rumor for accuracy. If it is a known rumor the user will get a quick response. If it is a new rumor, it will take some time for the verification center to determine if it can be verified.

This project is made possible by a combination of emergent technologies that do not support direct video uploads right now.

Q: What is the expected response time for a query?

A: The response time with vary based on the complexity of the submissions however verifications will not be instant. Users can send a rumor - including text, pictures or video links - to the tipline. They will receive a reply that the verification center will be reviewing the rumor for accuracy. If it is a known rumor, the user will get a quick response.

If it is a new rumour, and is determined to either be beyond the scope of this research or not verifiable based on publicly accessible information, users will get an "out of scope" response.

If the new rumour is both within scope and verifiable, the verification center will prioritize requests based on their urgency. Finally, if the new rumour is both within scope, verifiable and prioritized, the verification center may take up to 24 hours to send back a report.

The longer we run the project, the more robust our database and response times will be. Of course we couldn't have a database without starting the project, so this is an effort that will take some time to calibrate.

After 24 hours, we will prioritize newer queries. It is not possible to respond to all queries.

Q: What kind of queries may be considered out of scope?

A: The verification center has instituted a Standard Operating Procedure to make these determinations.

A query may be considered out of scope for a range of reasons. For example, if it's satire or humour or just not related to elections, or if it's in a language other than the five assigned to this project (English, Hindi, Telugu, Bengali, Malayalam), or if it cannot be evaluated merely on publicly available and accessible information, and would require journalistic reporting or fact-checking.

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Q: What is Project Checkpoint? A: Checkpoint is a research project at PROTO, commissioned and technically assisted by WhatsApp. It uses a tipline on WhatsApp (+91- 9643-000-888) only as a means to collect information that is otherwise inaccessible given the nature of private messaging.

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1. users can submit uncertain information

2. create a database of rumours

3. review rumours in the form of pictures, video links in addition to text

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Facebook-owned WhatsApp has launched a new platform to address the issue of fake news during upcoming Lok Sabha elections. Called 'CheckPoint Tipline', it allows WhatsApp users to 'submit uncertain information or rumors they have received' on WhatsApp.
The complaint can be submitted with on Checkpoint Tipline WhatsApp account under the mobile number +91-9643-000-888. According to a press release, the project though commissioned and technically assisted by WhatsApp, is developed by Proto, an India-based media skilling startup. The tipline will help create a database of rumours to study misinformation during the elections.
Under the new feature, Proto' verification centre will seek to respond and inform the user if the claim made in a suspicious message shared is verified or not. It will classify information as true, false, misleading, disputed or out of scope and include any other related information that is available.

This will cover four regional languages including Hindi, Telugu, Bengali and Malayalam, other than English. Further, it can review rumors in the form of pictures, video links in addition to text messages.
Proto's founders Ritvvij Parrikh and Nasr ul Hadi said, "The goal of this project is to study the misinformation phenomenon at scale - natively in WhatsApp. As more data flows in, we will be able to identify the most susceptible or affected issues, locations, languages, regions, and more. The verification reports we send back will encourage our grassroots-level "listening posts" to send more signals for analysis."
Fergus Bell, Founder & CEO, Dig Deeper Media said, "The research from this initiative will help create a global benchmarks for those wishing to tackle misinformation in their own markets. This is also innovation in verifying data around elections in a way that is accessible to those who need it in exactly the place they need it."

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checkpoint tipline: WhatsApp launches CheckPoint Tipline to tackle fake news - Times of India

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Facebook-owned WhatsApp has launched a new platform to address the issue of fake news during upcoming Lok Sabha elections. Called 'CheckPoint Tipline', it allows WhatsApp users to 'submit uncertain information or rumors they have received' on WhatsApp. The complaint can be submitted with on Checkpoint Tipline WhatsApp account under the mobile number +91-9643-000-888.

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The BBC's Trusted News Initiative is a partnership that includes organisations such as Facebook, Twitter, Reuters and The Washington Post. It is the only forum in the world of its kind designed to take on disinformation in real time.
It also offers articles on tools used by pros, education material, and other latest and relevant news revolving around misinformation and debunking misinformation.

https://www.bbc.co.uk/beyondfakenews/

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The best of BBC reporting, education and training to help you understand the challenges posed by misinformation and fake news

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Q: Do the COVID-19 vaccines cause infertility?
A: There's no evidence that approved vaccines cause fertility loss. Although clinical trials did not study the issue, loss of fertility has not been reported among thousands of trial participants nor confirmed as an adverse event among millions who have been vaccinated.

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Q: Do the COVID-19 vaccines cause infertility? A: There's no evidence that approved vaccines cause fertility loss. Although clinical trials did not study the issue, loss of fertility has not been reported among thousands of trial participants nor confirmed as an adverse event among millions who have been vaccinated.

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Debunk news, perform fact checking

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The definitive Internet reference source for researching urban legends, folklore, myths, rumors, and misinformation.

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video verification tool

created by Amnesty International

users input a YouTube URL, and the tool outputs information about the video that is helpful in verifying a video

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Action Reporter Tool | Amnesty International USA