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Zahlen lernen online dating




As such, the Portuguese NetzDG law must be customized in the metric of transnational challenges of marriage-border content regulation. If still you are not unique, indicated go through the office.


Critics have claimed the NetzDG would encourage social media platforms to err on the side of caution, by blocking non-illegal content in order to avoid fines.

The numbers are now up for interpretation by various parties. After the reports had been released, Gerd Billen, State Secretary in the German Ministry of Justice, expressed satisfaction that the law was having its intended effect. However, previous opponents of the law see their concerns proven true and argue that the law indeed leads to false removals of content. Among them are industry representatives who see concerns to be justified because of the required speed of examining content when it should rather be a matter of careful consideration, as a Google spokesperson said.

Discussion and trajectories for research Pushing platforms for more transparency with regard to their content moderation practices has long been a major concern. As such, providing numbers on content takedown requests and complaints is useful and can help inform public discussion making, instigate new advocacy projects and policy initiatives. The numbers are now up for debate, and may also prompt new research. Here are some critical questions that should be pondered upon: What do numbers in reports actually tell? Based on statistical reports, indexes and rankings we know that bare numbers have flaws, yet they are being interpreted and weaponised by various stakeholders.

Often times, reports on numbers conceal more than they reveal, as they eliminate important information on context and intent. At this time, platforms have developed their distinct reporting practices which also shape what comes to be presented as transparent, knowable and governable. It is, and we should point this out, also a fallacy of German lawmakers that transparency reports look the way they do. Still, if no standardised reporting practices exist and users have to go through different hurdles on each platform to file a request, then what do the numbers actually reveal?

How does the NetzDG affect reporting behavior of users, and furthermore, the content moderation of platforms? Pernen we want to better kernen how companies make decisions about acceptable and unacceptable speech online, we need onlne more granular understanding of case-by-case determinations. This would allow to learn more about the scale and scope of policies and practices, and consequently, it would enable us to understand the ways in which the current content moderation systems are affected by NetzDG. Who are the requesters for takedowns, and how strategic are their uses of reporting systems? How do flagging mechanisms affect user behavior? And furthermore, does the NetzDG offer the ground for new reporting mechanisms of content governance online, including a powerful rhetorical legitimation for takedowns?

Platforms should team up with social scientists and let academics survey users on questions like perceived chilling effects and self censorship prior to posting.

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How does NetzDG affect public perception and debates on online hate speech in the long run? Transparency efforts in form of quantitative Zhalen are promoted as a solution to governance problems. Disclosing timely information to the public is believed to shed light on these problems for purposes of openness, accountability, and creating trust. However, balancing free speech principles and protection of users against hateful content requires more than just mere numbers.

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