Leave Content Moderation to AI

22

September

2020

5/5 (2)

Leave Content Moderation to AI

When thinking of the hardest jobs in the world, it is likely that ‘content moderator’ will not come to your mind. Nonetheless, with news coming out that a former youtube employee is suing the firm for their inability to protect her mental health and failure to care, this controversial job is at the forefront of debate again. This is far from the first time that a moderator of online content from these social media giants attacks them for developing PTSD as a result of their job. In May, Facebook paid out a 52 million dollar settlement to former employees following a lawsuit.

So, what is a content moderator ? A content moderator is in charge of moderating the content posted by users of the platforms, often after this content has been signaled by other users. As a result, moderators spend their days viewing horrendous content including cannibalism, child pornography, decapitations and so on. It should therefore come without a surprise that without proper psychological support, anyone would develop deep trauma; and this is exactly the case. These tech companies outsource this process to Collabera or Accenture who hire on minimum wage, provide minimal training and support, and make employees sign NDAs as well as documents which acknowledge that there is a risk of developing PTSD (as a way to protect themselves from any liability).

What can be done? It can be argued that processes can be put in place to protect the health of these workers including researching PTSD (to better understand and prevent it), setting a cap on the amount of content viewed or offering constant psychological support. I nonetheless take a different approach, which is to make this a job of the past, and to fully automate the process using AI supported by machine learning. Currently, AI is already used when the content is first uploaded to the platform. Moderators only intervene once users report content. With the recent development of ‘deep neural networks’, systems can now effectively recognise complex data inputs such as images and videos. For a wide range of applications, trained AI systems perform as efficiently as humans, still with some degree of error. As AI continues to develop and is supported by algorithm development and cheaper computational power, there is no doubt that AI systems can become online content moderators. As they are fed with more and more disturbing content, machine learning will train them further and further to continuously reduce their error rate.

Do you think this process should be left to humans?

 

Screen Shot 2020-09-22 at 18.27.20

graph detailing the process of online content moderation and where AI can intervene.

 

Sources:

https://www.ofcom.org.uk/__data/assets/pdf_file/0028/157249/cambridge-consultants-ai-content-moderation.pdf

https://www.theverge.com/2020/9/22/21450477/youtube-content-moderator-sues-lawsuit-ptsd-graphic-content-exposure 

https://www.theverge.com/interface/2020/1/28/21082642/content-moderator-ptsd-facebook-youtube-accenture-solutions 

https://www.theverge.com/2020/5/12/21255870/facebook-content-moderator-settlement-scola-ptsd-mental-health

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Is the Sports Broadcast Industry ‘ripe for disruption’?

14

September

2020

5/5 (1)

Traditionally, sport events have been broadcasted on television channels. Much like for TV shows, whoever was in a position to bid the largest amount would obtain the broadcasting rights. Under this model, many pay-TV channels have acquired a share of the pie which has led to the issue of disaggregation. Different channels and platforms have obtained exclusive rights to different leagues and sports, splitting consumers between many different sources. When associating this with the steep increase in TV rights acquisition costs, French football fans now need 4 different subscriptions to enjoy european football, equating to over 80 euros per month worth of subscriptions.

This trend has turned live football home entertainment into an expensive hobby that only a few can afford. Nonetheless, this left a big part of the low-end market unserved and has given birth to a new offering: OTT’s. Over-the-top media services are less like channels and more like online streaming platforms. OTT technology offers a major advantage to these new platforms as it allows them to bypass broadcast, satellite and cable platforms, which typically control and distribute the content; this also means that over-the-top platforms avoid the heavy costs associated with broadcasting.

The leading OTT sport service is the American platform DAZN. In Germany for instance, Sport fans get most European football as well as many other sports for under 12 euros a month with DAZN. Eleven Sports Network offers a similar subscription; it is only available in five european countries and focuses on acquiring major international sports rights in smaller countries. Although the list of live sport events they offer is exhaustive, these platforms deliver a superior product offering than anything else on the market and therefore satisfy the lower end of the market. These fully digitalised platforms also offer superior customer experience than traditional TV channels do including no pay-per-view, no commercial interruptions, the ability to stream on multiple devices at once and the ability to watch on any device (mobile devices, computers, smart TVs, game consoles or streaming media players).

Resources:

Disrupting established media markets: the DAZN success story


https://www.cnbc.com/2018/08/01/how-streaming-platforms-are-infiltrating-the-ripe-for-disruption-spo.html
https://www.weforum.org/agenda/2018/11/innovation-is-the-key-to-the-pay-tv-industry-s-long-term-growth/
https://www.lequipe.fr/Medias/Actualites/Droits-tv-sur-quelles-chaines-regarder-le-foot-francais-et-europeen-pour-la-saison-2020-2021/1163173

DAZN sports streaming service review: Product, price and features

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