Today at the Frankfurt motor show, one of the biggest and most prestigious motor shows in the world, Sheryl Sandberg, COO of Facebook, spoke before German Chancellor Angela Merkel. Now what is Facebook and most importantly, Sheryl Sandberg doing at an automotive industry event? The obvious answer that comes to mind when one relates Facebook and the car industry is the billions of advertising dollars the industry spends on marketing and advertising. However, that does not seem to be Facebook's game plan, as highlighted by Sheryl and shown at their pavilion. Facebook seems to have a strategy of leveraging its capabilities in social marketing, AR & VR and interestingly, who would have thought of it, leveraging its advanced AI and deep learning capabilities to support the development of autonomous vehicles.
Facebook has claimed that a new German law that threatens to impose heavy fines on social media companies if they fail to delete hate speech and fake news, could lead to tech firms deleting legal content to avoid paying the punishing sanctions. The legislation, known as the Network Enforcement Act, was proposed by the German government in March and approved by the cabinet a month later, although it is yet to come into effect. Facebook reportedly issued a statement over the weekend explaining why the law "is not suitable to combat hate speech and false news". According to Business Insider, the company said in the statement that "the draft law provides an incentive to delete content that is not clearly illegal when social networks face such a disproportionate threat of fines." Facebook added: "It would have the effect of transferring responsibility for complex legal decisions from public authorities to private companies.
A suspected terror attack on a Munich shopping mall Friday left at least nine people dead, including a possible gunman, and at least 10 others injured while triggering a massive search for other shooters that locked down one of Europe's major cities. Authorities said they were investigating whether one of the victims near the Olympia Einkaufszentrum mall was an attacker who had committed suicide. Munich police told Fox News the body of a possible gunman was found more than half a mile away from the shopping center. Reuters, citing the Bayerischer Rundfunk (BR) TV channel, reported that police were using a robot to investigate a red backpack found near the body. People running away to seek shelter!! pic.twitter.com/PB189s6RQy
Tumasjan, Andranik (Technische Universität München) | Sprenger, Timm O. (Technische Universität München) | Sandner, Philipp G. (Technische Universität München) | Welpe, Isabell M. (Technische Universität München)
Twitter is a microblogging website where users read and write millions of short messages on a variety of topics every day. This study uses the context of the German federal election to investigate whether Twitter is used as a forum for political deliberation and whether online messages on Twitter validly mirror offline political sentiment. Using LIWC text analysis software, we conducted a content-analysis of over 100,000 messages containing a reference to either a political party or a politician. Our results show that Twitter is indeed used extensively for political deliberation. We find that the mere number of messages mentioning a party reflects the election result. Moreover, joint mentions of two parties are in line with real world political ties and coalitions. An analysis of the tweets’ political sentiment demonstrates close correspondence to the parties' and politicians’ political positions indicating that the content of Twitter messages plausibly reflects the offline political landscape. We discuss the use of microblogging message content as a valid indicator of political sentiment and derive suggestions for further research.