Sentence examples for destructive content from inspiring English sources

"destructive content" is a correct and commonly used phrase in written English.
It refers to any content that has the potential to cause harm or damage, either intentionally or unintentionally. Example: The social media platform was criticized for not doing enough to monitor and remove destructive content, such as hate speech and misinformation.

Exact(2)

Because, it turns out that harassing, destructive content is profitable.

And as more of us choose to focus on constructive rather than destructive content, the power of the marketplace will take effect.

Similar(58)

The amount of time exposed to the hegemonic forces of white media and its often-destructive content regarding black people and their children is toxic for their emotional health and physical well-being, as blacks are made to internalize the deleterious messages that they receive daily, reminding them that they do not matter much in the world.

Traditional methods of measuring leaf chlorophyll content are destructive.

5 Recently, the combination of the VIS NIR reflectance spectroscopy and the chemometrics was successfully used to quantify (in a non-destructive fashion) the lycopene content of fresh tomatoes.

Destructive modifications often cause the content of multimedia data to be inaccurate and further incur the difficulty or considerable errors for subsequent computer vision application.

Therefore, SPAD measurement may be a more appropriate method than destructive measurement of leaf chlorophyll content for use in genetic analysis of leaf photosynthesis.

Non-destructive measurement of soil water content and electrical conductivity has been desired for many years.

The study indicates that high-resolution spectroscopic measurements provide a simple, robust and non-destructive method for measuring DOC content.

A new procedure for rapid and non-destructive determination of the fat content in dairy products has been proposed by Veliyulin et al. [28].

The use of the artificial neural network (ANN) for the non-destructive identification of the moisture content of saline ceramic bricks is presented in the following article.

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