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This is where the Internet Giants come into play.
Fake news is by no means a new phenomenon, and following public outcry and intense political pressure in the past, companies such as Google, Facebook and Twitter have started to tackle the issue. Over the past weeks, these corporations for their decisive response to the influx of corona-related misinformation, and, apparently, rightfully so: Internet users in North America and Western Europe are indeed seeing . As such, any effort that has already been made, is of course commendable.Nevertheless, all of the examples of fake news mentioned in the introduction above are from articles that I came across while going about my daily business online. Today, when I open my Google News Feed or go on my Facebook Wall, I see such fake news presented to me as recommended reading or viewing. Let me repeat: it is not being sent to me by poorly informed friends or family members, it is being recommended to me as “interesting content” by the Internet Giants who, in practice, are the gatekeepers of what we collectively see on the World Wide Web every day.For instance, concerning “2. Limiting the spread of fake news”: why is identified corona-related fake news still showing up on the Google News Feed or other content aggregators such as the Facebook Wall? Surely it would not be considered overly “political” for these companies to take the stance that they do not wish to actively promote harmful coronavirus fake news (rather than just letting it appear less prominently in news feeds).
For instance, concerning “3. Curbing financial incentives for spreading fake news”: why not take a more proactive stance, and completely halt ad revenue to web pages which have been identified as containing malicious coronavirus fake news? This need not apply to the entire content platform, but simply the specific web page on which the content is hosted.
For instance, concerning “4. Raising awareness regarding fake news and promoting reliable news sources”: on a web page which has been identified as hosting harmful coronavirus content, why not replace the usual ads with ads explaining the risks of fake news, with ads explaining how to identify fake news, or with ads linking to relevant websites which do provide accurate information on the coronavirus or on the topic discussed in the fake news article? This strategy has the advantage of directly targeting those Internet users most prone to accessing, believing and sharing harmful content.
However, the main sticking point, and the issue which must be addressed with urgency in order for any subsequent measures to be successful, is “1. Identifying fake news”. This should be done a) in a timely fashion, before harmful misinformation gains significant traction and b) world-wide, in all languages.
Currently, the Internet Giants rely mainly on in-house fact checkers, sometimes in cooperation with external independently accredited fact-checking organisations, to check content for fake or misleading news. This is supplemented by machine learning to prioritise reviewing of content which is flagged as suspicious. Obviously these teams are now working around the clock, and some companies have hired additional staff, but as in any industry, operations have also been . The current response is too slow and a lot of fake news is still gaining traction before being flagged. Another obvious issue is that these fact-checking teams are typically based in only a handful of (mostly Western) countries, and can only review content in a limited number of languages.The solution is simple and low-cost: harness the good of the Internet, and set up an online platform to which anyone can sign up in order to help in identifying fake or misleading news. Despite earlier skepticism, user surveys have already proven in distinguishing between trustworthy news sources and sources which are prone to sharing fake news. User-input can be weighed across different users’ responses to accurately identify fake news and remove trolls from the platform. This approach can be supplemented by expert input in order to refine machine learning algorithms. Responses from users whose judgement is consistently in line with that of professional fact checkers can receive a higher weight.
Allow citizens to join in the effort, by setting up an online community-driven platform for identifying fake news.
Millions of people are currently stuck at home with nothing better to do, and if the past few weeks have shown us anything, it’s that in times of crisis communities come together and individuals step up to the challenge in order to help in any way they can, whether it be through the , volunteering their time to or to , putting their computer resources at work to , or indeed, .In order to pool resources and maximise utility, setting up such a platform could be a shared effort between the Internet Giants. The results should be accessible to any organisation, so that smaller platforms with less resources can also start implementing their own strategies for tackling fake news. By prioritising content which is gaining most traction, and using machine learning to further expedite the process, a crowd-sourced platform should allow us to easily identify the vast majority of harmful content before it gains widespread traction, and it will ensure that this effort is world-wide, rather than concentrated in the most developed countries.Obviously this strategy is no panacea to “cure the world of all fake news”. Additional creative solutions are still needed - particularly in order to tackle the sharing of harmful content in private groups - but the measures described above would be a good start. A supplementary approach , could be to implement more visible tools for flagging fake news directly in apps such as YouTube, WhatsApp and Facebook. Unfortunately this requires action on the part of each individual company, and a potential limitation is that individuals already reading or viewing fake corona news might be less likely to recognise or flag it as such.There are of course over using these types of community-driven approaches to identify fake news. Some types of fake news may be considered relatively harmless, entertaining (think the Flat Earth Society) or clear parody (think ). Other types of fake news are subject to the vagaries of political preference or ideological bias, and such biases may pervade a community-driven response if participants collectively lean one way or the other on a political or ideological spectrum.The current situation is different. Fake news on the coronavirus is neither harmless, nor is it subject to political or ideological preference. It is a matter of overcoming this crisis together. For once all of us - whether we lean Left or Right, vote Democrat or Republican, live in the developed or the developing world - we are all in the same boat, facing a common enemy.