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'misuse of personal data' is a correct and usable phrase in written English.
You can use it when you are talking about someone or a company violating data privacy laws by mishandling personal information, such as someone wrongfully sharing a person's address or Social Security Number. For example, "John was fined for misuse of personal data when he shared the bank records of his former employer with a competing company."
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It also tackles the misuse of personal data, meaning that blacklisting is within the ICO's remit.
Individuals and interest groups worry about rights to privacy and commercial misuse of personal data.
In a system as complex and opaque as Facebook's, misuse of personal data is virtually guaranteed.
But the more prosaic British old-media scandals such as those investigated by Operation Weeting and Operation Motorman at their core involved the misuse of personal data.
"Congress should focus on Facebook - but equally on Cambridge Analytica, engaging in theft and misuse of personal data, dirty tricks, and services for Russians," Blumenthal added.
It is unclear if the claim relates to the misuse of personal data (of the Data Protection Act kind) or some broader breach of privacy rights (such as that exists in England).
Similar(25)
While brands do not necessarily want to have to comply, this movement will serve as a warning to companies to figure out better ways to genuinely build relationships with their audience as opposed to the often clear misuse and abuse of personal data in the name of marketing and selling.
The MPs' report also warned possible misuses of personal data were not being fully investigated because the information commissioner lacked sufficient powers.
"You asked me if I thought this kind of activity which we're speaking about today — involving Cambridge Analytica and Facebook — is happening on other platforms or if there's other applications or if there's misuse and misselling of personal data.
In the wake of recent revelations regarding misuses and abuses of personal data by a variety of well-known and successful companies, as well as the growing evidence that big data are being used to actively perpetuate and increase socioeconomic inequality, it might seem like data science as a discipline has wandered so far down a dark ethical path that there is no clear map to recovery.
Youth who participated in interviews spoke of non-consensual image sharing incidents in their circles, corporate tracking, and government surveillance of social media as problems that they had to accept all of which challenges adult views of youth as uninterested in topics of privacy, or ignorant about the consequences of personal data misuse.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com