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Elon Musk’s plans for Twitter could make its misinformation problems worse

Anjana SusarlabyAnjana Susarla
April 30, 2022
Reading Time: 7 mins read
Elon Musk’s Moment Of Triumph Is A Moment Of Uncertainty For The Future Of One Of The World’s Leading Social Media Platforms | Ap Photo/John Raoux

Elon Musk’s moment of triumph is a moment of uncertainty for the future of one of the world’s leading social media platforms | AP Photo/John Raoux

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Elon Musk, the world’s richest person, acquired Twitter in a US$44 billion deal on April 25, 2022, 11 days after announcing his bid for the company. Twitter announced that the public company will become privately held after the acquisition is complete.

In a filing with the Securities and Exchange Commission for his initial bid for the company, Musk stated, “I invested in Twitter as I believe in its potential to be the platform for free speech around the globe, and I believe free speech is a societal imperative for a functioning democracy.”

As a researcher of social media platforms, I find that Musk’s ownership of Twitter and his stated reasons for buying the company raise important issues. Those issues stem from the nature of the social media platform and what sets it apart from others.

What makes Twitter unique

Twitter occupies a unique niche. Its short chunks of text and threading foster real-time conversations among thousands of people, which makes it popular with celebrities, media personalities and politicians alike.

Social media analysts talk about the half-life of content on a platform, meaning the time it takes for a piece of content to reach 50% of its total lifetime engagement, usually measured in number of views or popularity-based metrics.

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The average half-life of a tweet is about 20 minutes, compared to five hours for Facebook posts, 20 hours for Instagram posts, 24 hours for LinkedIn posts and 20 days for YouTube videos. The much shorter half-life illustrates the central role Twitter has come to occupy in driving real-time conversations as events unfold.

Twitter’s ability to shape real-time discourse, as well as the ease with which data, including geo-tagged data, can be gathered from Twitter has made it a gold mine for researchers to analyze a variety of societal phenomena, ranging from public health to politics. Twitter data has been used to predict asthma-related emergency department visits, measure public epidemic awareness, and model wildfire smoke dispersion.

Tweets that are part of a conversation are shown in chronological order, and even though much of a tweet’s engagement is frontloaded, the Twitter archive provides instant and complete access to every public Tweet. This positions Twitter as a historical chronicler of record and a de facto fact checker. 

Changes on Musk’s mind

A crucial issue is how Musk’s ownership of Twitter, and private control of social media platforms generally, affect the broader public well-being. In a series of deleted tweets, Musk made several suggestions about how to change Twitter, including adding an edit button for tweets and granting automatic verification marks to premium users.

Do you want an edit button?

— Elon Musk (@elonmusk) April 5, 2022

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There is no experimental evidence about how an edit button would change information transmission on Twitter. However, it’s possible to extrapolate from previous research that analyzed deleted tweets.

There are numerous ways to retrieve deleted tweets, which allows researchers to study them. While some studies show significant personality differences between users who delete their tweets and those who don’t, these findings suggest that deleting tweets is a way for people to manage their online identities.

Analyzing deleting behavior can also yield valuable clues about online credibility and disinformation.

Similarly, if Twitter adds an edit button, analyzing the patterns of editing behavior could provide insights into Twitter users’ motivations and how they present themselves.

Studies of bot-generated activity on Twitter have concluded that nearly half of accounts tweeting about COVID-19 are likely bots. Given partisanship and political polarization in online spaces, allowing users – whether they are automated bots or actual people – the option to edit their tweets could become another weapon in the disinformation arsenal used by bots and propagandists. Editing tweets could allow users to selectively distort what they said, or deny making inflammatory remarks, which could complicate efforts to trace misinformation.

Twitter is a hellsite that also houses a vital time-stamped chronology of state corruption. It shows who know what and when, and gives some insight into why. Chronology is an enemy of autocracy. Altering Twitter is altering history, and that's the appeal to autocratic minds.

— Sarah Kendzior (@sarahkendzior) April 14, 2022

Musk has also indicated his intention to combat twitter bots, or automated accounts that post rapidly and repeatedly in the guise of people. He has called for authenticating users as real human beings.

Given challenges such as doxxing and other malicious personal harms online, it’s important for user authentication methods to preserve privacy. This is particularly important for activists, dissidents and whistleblowers who face threats for their online activities. Mechanisms such as decentralized protocols can enable authentication without sacrificing anonymity. 

Twitter’s content moderation and revenue model

To understand Musk’s motivations and what lies next for social media platforms such as Twitter, it’s important to consider the gargantuan – and opaque – online advertising ecosystem involving multiple technologies wielded by ad networks, social media companies and publishers. Advertising is the primary revenue source for Twitter.

Musk’s vision is to generate revenue for Twitter from subscriptions rather than advertising. Without having to worry about attracting and retaining advertisers, Twitter would have less pressure to focus on content moderation. This could make Twitter a sort of freewheeling opinion site for paying subscribers. In contrast, until now Twitter has been aggressive in using content moderation in its attempts to address disinformation.

Musk’s description of a platform free from content moderation issues is troubling in light of the algorithmic harms caused by social media platforms. Research has shown a host of these harms, such as algorithms that assign gender to users, potential inaccuracies and biases in algorithms used to glean information from these platforms, and the impact on those looking for health information online.

Testimony by Facebook whistleblower Frances Haugen and recent regulatory efforts such as the online safety bill unveiled in the U.K. show there is broad public concern about the role played by technology platforms in shaping popular discourse and public opinion. Musk’s acquisition of Twitter highlights a whole host of regulatory concerns.

Because of Musk’s other businesses, Twitter’s ability to influence public opinion in the sensitive industries of aviation and the automobile industry automatically creates a conflict of interest, not to mention affects the disclosure of material information necessary for shareholders.

Musk has already been accused of delaying disclosure of his ownership stake in Twitter.

Twitter’s own algorithmic bias bounty challenge concluded that there needs to be a community-led approach to build better algorithms. A very creative exercise developed by the MIT Media Lab asks middle schoolers to re-imagine the YouTube platform with ethics in mind. Perhaps it’s time to ask Musk to do the same with Twitter.

This is an updated version of an article originally published on April 15, 2022.The Conversation

Anjana Susarla, Professor of Information Systems, Michigan State University

This article is republished from The Conversation under a Creative Commons license.

Tags: BotsDisinformationElon MuskFree SpeechMisinformationSocial MediaTechnologyTwitter
Anjana Susarla

Anjana Susarla

Anjana Susarla is the Omura Saxena Professor in Responsible AI in the Department of Accounting and Information Systems at the Eli Broad College of Business at Michigan State University. Her research interests include social media analytics and the economics of artificial intelligence. She earned an undergraduate degree in Mechanical Engineering from the Indian Institute of Technology, Chennai; a graduate degree in Business Administration from the Indian Institute of Management, Calcutta; and Ph.D. in Information Systems from the University of Texas at Austin. Her work has appeared in several academic journals and peer-reviewed conferences such as Academy of Management Conference, Conference on Knowledge Discovery and Data Mining, Information Systems Research, International Conference in Information Systems, Journal of Management Information Systems, Management Science and MIS Quarterly. Dr. Susarla has been a recipient of the William S. Livingston Award for Outstanding Graduate Students at the University of Texas, a Steven Schrader Best Paper Finalist at the Academy of Management, the Association of Information Systems Best Publication Award, a Runner-Up for Information Systems Research Best Published Paper Award and the Microsoft Prize by the International Network of Social Networks Analysis Sunbelt Conference.

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