Elon Musk’s not-so-secret weapon: An army of Twitter bots touting Tesla

(Patrick Pleul / Associated Press)
By Russ MitchellStaff Writer
April 12, 2022 5 AM PT

https://www.latimes.com/business/story/2022-04-12/musk-is-off-the-twitter-board-of-directors-the-tesla-twitter-bot-army-marches-on

In early November 2013, the news wasn’t looking great for Tesla. A series of 
reports had documented instances of Tesla Model S sedans catching on fire, 
causing the electric carmaker’s share price to tumble.

Then, on the evening of Nov. 7, within a span of 75 minutes, eight automated 
Twitter accounts came to life and began publishing positive sentiments about 
Tesla. Over the next seven years, they would post more than 30,000 such tweets.

With more than 500 million tweets sent per day across the network, that output 
represents a drop in the ocean. But preliminary research from David A. Kirsch, 
a professor at the University of Maryland’s Robert H. Smith School of Business, 
concludes that activity of this sort by so-called bots has played a significant 
part in the “stock of the future” narrative that has propelled Tesla’s market 
value to altitudes loftier than any traditional financial analysis could 
justify.

In a market in love with “meme stocks,” sexy narrative is proving far more 
profitable than financial analysis, said Kirsch, co-author of “Bubbles and 
Crashes: The Boom and Bust of Technological Innovation.”

“The Tesla narrative is extraordinarily powerful,” Kirsch said. Despite the 
company’s several brushes with bankruptcy, the vision of a planet-saving, 
world-dominating business enterprise has enabled Chief Executive Elon Musk “to 
keep selling stock to the public to keep it fueled. At a certain point, it does 
become self-fulfilling.”
Monica Chatman is a plaintiff in a class-action lawsuit for discrimination and 
harassment against Tesla

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Whether Twitter bots are being deliberately programmed to manipulate stock 
trading is among the questions that Kirsch and his research assistant, Moshen 
Chowdhury, are trying to answer.

Their inquiry comes as Musk has been signaling an intention to use his wealth 
and gigantic Twitter following to influence the platform’s future direction and 
policies. After buying nearly 10% of Twitter last month, Musk announced that 
he’d be joining the board, but Twitter revealed Monday that he’d changed his 
mind for unspecified reasons. Musk is a Twitter phenomenon, constantly posting 
tweets for his 80 million followers that range from standard to outrageous to 
juvenile to profane.

He settled fraud charges with the U.S. Securities and Exchange Commission in 
2018 for allegedly duping investors into believing he had a deal to take Tesla 
private when he didn’t. He’s now trying to nullify that agreement in the courts.

A Twitter bot is a fake account, programmed to scour the social media site for 
specific posts or news content — Musk’s posts, for example — and respond with 
relevant, preprogrammed tweets: “Tremendous long term growth prospects” or “Why 
Tesla stock is rallying today” or “Tesla’s Delivery Miss Was ‘Meaningless.’” 
The bots can also be programmed to send nasty or threatening messages to 
company critics.

Kirsch and Chowdhury collected and reviewed Tesla-related tweets from 2010, 
when the company went public, to the end of 2020.

Over that period, Tesla lost an accumulated $5.7 billion, even as its stock 
soared and Musk became one of the richest humans on the planet; his net worth 
is estimated at $275 billion. Operational results can’t justify anything close 
to the company’s $1-trillion market value, based on any kind of traditional 
stock-pricing metric.

Emails to Tesla and a Twitter message to Musk seeking comment for this story 
went unanswered.

Using a software program called Botometer that social media researchers use to 
distinguish bot accounts from human accounts, the pair found that a fifth of 
the volume of tweets about Tesla were bot-generated. That’s not out of line 
with giants like Amazon and Apple, but their bots tended to push the stock 
market and tech stocks in general, with those companies as leaders, but not 
focus on any particular narrative about the companies.

While any direct link between bot tweets and stock prices has yet to be 
determined, the researchers found enough “smoke” to keep their project going.

Over the 10-year study period, of about 1.4 million tweets from the top 400 
accounts posting to the “cashtag” $TSLA, 10% were produced by bots. Of 157,000 
tweets posted to the hashtag #TSLA, 23% were from bots, the research showed.

Kirsch and Chowdhury tracked 186 Tesla-related bot accounts and found that 
after each was launched, the company’s stock appreciated more than 2%. (They 
looked at the average stock return for the week previous to the bot’s creation 
and for the week following.) While Tesla’s market value has increased over the 
years, the price has seen dramatic ups and downs. The periods around bot 
creation showed sharp increases, but outside those windows, trading was far 
more volatile, Chowdhury said.

“This isn’t a causal relationship, but it does raise questions,” Kirsch said, 
about why there’s a correlation that does not appear to be random. “We’re 
trying to understand the mechanism. It can’t be just a bunch of tweets that 
push the stock. People have to notice them, interpret them and act on them.”

The researchers are looking at the timing of the tweets and options activity in 
the overnight stock market, among other factors. One big unknown: whether the 
bots are the work of entities with a direct financial interest in Tesla.

Twitter bots have been created on behalf of other companies, the researchers 
found, but the content tends to be what they called “generic” marketing 
messages.

Whatever the effect on stock prices, Kirsch said, the bot campaign represents a 
new form of corporate content distribution or, as he calls it, “computerized 
computational propaganda.”

“This computational content may have buffered the Tesla narrative from an 
emergent group of critics, relieved downward pressure on the Tesla stock price 
and amplified pro-Tesla sentiment from the time of the firm’s IPO in June 2010 
to the end of 2020,” reads a paper that the researchers plan to present at the 
International Electric Vehicle Symposium in June in Oslo.

The paper calls Musk “a singular figure on Twitter,” with his 80 million 
followers. “It’s not clear if this strategy could be replicated by other 
firms,” the authors write.

If so, the legal and ethical questions will become more salient. Should firms 
that use bots have to disclose their use to the SEC or conform with lobbying 
disclosure rules?

Those are questions Kirsch believes regulators will need to consider as other 
firms see how Musk and Tesla have benefited from their bot following.

“It matters who stands in the public square and has a big megaphone they’re 
holding, and the juice they’re able to amplify their statements with,” he said.

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