Wednesday 8 June 2022 07:10 PM Twitter offers Elon Musk access to its full firehose of user data trends now
Twitter plans to comply with Elon Musk's demand for data on fake accounts and will unleash its full data stream on the billionaire, according to a new report.
Twitter will provide Musk with access to its so-called 'firehose', a stream of data including more than 500 million tweets posted every day, the Washington Post reported on Wednesday, citing a person familiar with the company's thinking.
The firehose, which is currently available to a handful of companies for an undisclosed subscription fee, could be released to Musk as soon as this week, the people said.
Musk warned Twitter on Monday that he might walk away from his $44 billion deal to acquire the company if it fails to provide the data on spam and fake accounts that he seeks.
Twitter CEO Parag Agrawal (left) plans to comply with Elon Musk's demand for data on fake accounts and will unleash its full data stream on the billionaire, according to a new report
Shares of Twitter rose in afternoon trading after the report, which bolstered sentiment that the deal would be consummated
Shares of Twitter rose 1.6 percent in afternoon trading after the report, which bolstered sentiment that the deal would be consummated.
Twitter did not immediately respond to a request for comment from DailyMail.com.
The firehose, which is rumored to cost hundreds of thousands per month for the handful of companies that pay for access, consists not only of all real-time tweets, but information about the user accounts and devices they are issued from.
Meanwhile, a new study suggests that about 10 percent of Twitter 's active accounts are posting 'spam content'.
London-based data analytics firm GlobalData said in a report on Wednesday that its mathematical model found that spam accounts are roughly double the 5 percent share claimed by Twitter.
Musk has been threatening to walk away from his agreement to buy the company unless Twitter backs up its estimate that false or spam accounts comprise less than 5 percent of its user base.
'The precise proportion of spam accounts is difficult to compute, as it is almost impossible to confirm the identity of the entity behind a tweet handle,' said GlobalData senior data scientist Sidharth Kumar.
GlobalData's analysis relied on a statistical model that took into account a number of variables (above) to determine the proportion of spam accounts on Twitter
'Additionally, the definition of spam account may differ for everyone. Incessant tweeting of non-original content can be considered spam, but some may choose to see it as a very active user sharing articles/opinions,' Kumar added.