Musk sets tweet-viewing limits to combat data scraping from large AI companies
Twitter’s decision to limit daily tweet access addresses the severe degradation of service caused by unchecked data scraping, framing the restriction as a necessary emergency measure to protect normal users. By curbing the volume of accessible content, the platform aims to mitigate system manipulation and preserve the integrity of the social media experience. This policy shift highlights a growing conflict between social networks and artificial intelligence developers who rely on vast troves of user-generated text to train large language models. Social media companies are increasingly asserting that their data holds significant value and should not be provided to tech giants for free, signaling a broader industry trend toward monetizing digital content rather than allowing unrestricted extraction. For the open data community, this development underscores the urgent need to navigate a landscape where data access is becoming increasingly restricted and commercialized. It illustrates how platform governance can directly impact data availability, challenging the traditional ethos of open access and prompting discussions about fair compensation and ethical data usage in the age of AI-driven analysis.
Source: thehindubusinessline.comPublished on 2023-07-03