Support An analysis of the language in social media messages posted via the Internet determined that, on average, the use of words associated with positive moods is common in the morning, decreases gradually to a low point midafternoon, and then increases sharply throughout the evening. ████ █████ ████ █ ████████ ████ █████████ ██████ ███ █████ ██ ███ ████████ ████████ ██████ ███ ████ ███ ████████ ██ ███ ████████
The author hypothesizes that a person’s mood usually starts out happy in the morning, drops during the day, and improves in the evening. He supports this by citing a study of the language used on social media, which found that words linked to positive moods are common in the morning, decrease in the afternoon, and rise again in the evening.
The author makes two main assumptions. First, he assumes that social media language accurately reflects a person's mood. But someone could be unhappy in the morning and still post a happy message, or vice versa.
Second, he assumes that the analysis followed the same individuals throughout the day. If people who post in the morning are different from those who post in the afternoon or evening, he can't conclude that a person's mood follows the same pattern as the language used on social media.
The reasoning in the argument ██ ████ ██████████ ██ █████████ ██ ███ ███████ ████ ███ ████████ █████████ ███ ███████████ ████
people’s overall moods ███ ██████ ██ ███ █████████ ██ ███ ████████ ███ ████ ██████ ███████ ██ ███ ███████
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the frequency in ███ ███ ██ █████ ██ ██████ █████ ██ ███ ███████████ ██████████ ██ ███ █████████ ██ ███ ███ ██ █████ █████ ██ █████ █████ ██ █████████████
the number of ██████ █████ ████████ ██████ ██ ███ ███████ ██ ███ █████████████ █████████ ████ ███ ██████ ██████ ██ ███ ███████
most of the ██████ █████ ████████ ██████ ██ ███ ███████ ███ ██████ ██ ██████ ███ ██████ ████ ████ ████████ ██ ███ ███████