Incidental Exposure on TikTok: The article discusses how people often incidentally absorb information on TikTok, blurring the lines between what they've read and what they've seen on the platform.
Misinformation Spread: It highlights the potential consequences of this incidental exposure, emphasizing how easily misinformation can spread when users don't fact-check or verify the information encountered on TikTok.
Algorithmic Influence: The piece raises concerns about algorithms shaping users' perspectives, limiting exposure to diverse views, and suggests the need for more transparency and honesty when sharing information acquired from the platform.
I can totally relate to the author's experience of unintentionally substituting 'reading' with 'seeing on TikTok.' It's a wake-up call about how easily we absorb information in this digital age. While TikTok provides quick insights, the call for honesty and fact-checking is spot on. It's not about blaming the platform but recognizing our responsibility in ensuring the information we share is reliable. Let's embrace the convenience of TikTok but also cultivate a habit of verifying before passing it on.
The problem I see is that people get lazy about research. My parents watch one video and believe it as fact, without consideration of the source, they assume because it’s got a lot of views or likes it makes it factual.
Discussion (3)
I can totally relate to the author's experience of unintentionally substituting 'reading' with 'seeing on TikTok.' It's a wake-up call about how easily we absorb information in this digital age. While TikTok provides quick insights, the call for honesty and fact-checking is spot on. It's not about blaming the platform but recognizing our responsibility in ensuring the information we share is reliable. Let's embrace the convenience of TikTok but also cultivate a habit of verifying before passing it on.
The problem I see is that people get lazy about research. My parents watch one video and believe it as fact, without consideration of the source, they assume because it’s got a lot of views or likes it makes it factual.
I have a love-hate relationship with the algorithm.
Love: It's great at cutting through the hundreds of thousands of videos that I normally would find a waste of time.
Hate: It's gamified, creates an echo-chamber effect, and unfairly favors shady tactics.
Ideally the algorithms will get better at adapting, and it's a constant adjustment that platforms will have to tweak.