Goto

Collaborating Authors

 Information Extraction


Facebook Data Scandal: EU Parliament Member: Mark Zuckerberg's Testimony 'A Farce'

International Business Times

Facebook CEO Mark Zuckerberg's highly anticipated testimony in front of European Union Parliament came and went Tuesday. Initially a private session, Zuckerberg agreed to let the event be livestreamed at the last minute, but transparency concerns lingered due to a question-and-answer format that ultimately left parliament members unsatisfied. Zuckerberg gave an opening statement before parliament members provided lists of questions on various topics. He was then given time to answer whatever questions he felt like answering after they had all been asked, with no opportunity for follow-up questions from the 12 Parliament members. Parliament member Udo Bullman of Germany called the meeting's format a "farce" in a statement.


Dr Sue Black on TechMums, Twitter, data security and artificial intelligence

#artificialintelligence

Despite her rising profile internationally as a strong and hugely popular female voice in the technology sector, Dr Sue Black OBE is very modest for someone who has achieved a great deal of personal triumph while exploring what is important to herself. "It's a lot easier doing stuff you love than working in a job where you are not in control, yeah I work hard but at the same time it's a lot easier being charge of myself," she explains when asked about the numerous projects Black has wholeheartedly embraced, not least her campaign to Saving Bletchley Park, the birthplace of Alan Turing's Bombe machine, which led to her writing her debut book that has become the fasted crowdfunded book when published in 2016. Dr Black is a polite and enthusiastic person, and for the UK tech sector she is every bit the rock star it needs. Having received her OBE from The Queen last May, she has since been recognised by being inducted into Bima's Hall of Fame alongside the likes of Stephen Fry (co-incidentally one the highest profile champions of @savingbletchley), Dame Stephanie Shirley, Sir Jony Ive and Baroness Joanna Shields. "It's really nice to get recognition from organisations outside of academia who realise the potential of the work that I'm trying to do. I'm absolutely honoured and delighted to be recognised in this way because it means that the things that I really care about โ€“ other people really care about them as well and that is heart-warming for me that the change I am trying to make in the world is being recognised."


Mark Zuckerberg warned his legacy will be 'a genius who created a digital monster' at European Parliament hearing

The Independent - Tech

Mark Zuckerberg was warned that he risks being remembered as "a genius who created a digital monster", by a senior member of the European Parliament, where the Facebook founder and chief executive was answering questions on a massive data leak affecting millions of users. Guy Verhofstadt said that the only way for scandals surrounding the social media giant to subside, would be for its services to be split apart. "I really think we have a big problem here and it won't be fixed by saying we will fix itself," the parliament's chief Brexit negotiator said. "Could you and would you cooperate with European Antitrust authorities?" The Belgian MEP went on to suggest that Facebook's dominance could be stifled by splitting it from Facebook messenger.


Facebook Data Scandal: Zuckerberg To Apologize To EU Lawmakers Over Facebook Data Leak

International Business Times

BRUSSELS - Facebook boss Mark Zuckerberg arrived to meet European Union lawmakers on Tuesday ready to apologize for a massive data leak, in his latest attempt to draw a line under a scandal that has rocked the world's biggest social media network. Zuckerberg agreed to meet leaders of the European Parliament to answer questions about how political consultancy Cambridge Analytica improperly got hold of the personal data of 87 million Facebook users, including up to 2.7 million in the EU. According to pre-released remarks, Zuckerberg will say it has become clear "over the last couple of years that we haven't done enough to prevent the tools we've built from being used for harm as well." "Whether it's fake news, foreign interference in elections or developers misusing people's information, we didn't take a broad enough view of our responsibilities. That was a mistake, and I'm sorry." His comments echo an apology last month to U.S. lawmakers, but questions remain over how Facebook let the leak happen and whether it is doing enough to prevent a recurrence.


Mark Zuckerberg to face public grilling at European Parliament after rejecting Commons invitation

The Independent - Tech

Mark Zuckerberg will face a public grilling at the European Parliament on Tuesday, after a rebellion by MEPs over plans to hold the meeting in private. The Facebook founder is coming to Brussels to answer questions about his company's policies on personal data, privacy, and the social network's impact on elections โ€“ facing an interrogation by leaders of the assembly's political groups. The tech boss has so far refused similar requests to appear at the UK Parliamentโ€“ prompting British MPs to warn that they might issue a formal summons for him to appear. In April he spent two days testifying before the US Congress. Antonio Tajani, the president of the European Parliament, had announced last week that the meeting would be held behind closed doors.


r/MachineLearning - [D] Email data set for sentiment analysis demos

#artificialintelligence

Does anyone know of any large email data sets (that are not Enron) hopefully something over the last few years or so. We are trying to work on different platforms to test their sentiment analysis.


5 predictions for the future of machine learning

#artificialintelligence

There are countless articles and books on the future of machine learning. Today, we'll keep the discussion down-to-earth with five near-term predictions: In only a few years, machine learning will become part of nearly every software application. Think of how well your TV streaming service knows what to recommend. Expect this level of personalization to become ubiquitous and improve the customer experience everywhere. As machine learning becomes increasingly valuable and the technology matures, more businesses will start using the cloud to offer machine learning as a service (MLaaS).


Vote Leave faces scrutiny over ยฃ50m football contest

#artificialintelligence

A data-harvesting competition that offered football fans the chance to win ยฃ50m is at the centre of new questions about pro-Brexit campaigning before the 2016 EU referendum. Last week the select committee for digital, culture, media and sport released a letter Facebook sent to the Electoral Commission in which it said that two campaigns, Vote Leave and BeLeave, used three sets of data to target audiences, noting that they covered "the exact same audiences". The two campaign groups are under investigation over whether there was collusion and coordination during the referendum campaign, circumventing spending limits. Under British electoral law, it is illegal for campaigns to work together in any way unless they declare their spending jointly, which Vote Leave and BeLeave did not. Both organisations deny any collusion.


Why Is Sentiment Analysis Fundamental to Chatbot Development?

#artificialintelligence

The industrial revolution replaced workers with machines, forcing more of them towards the services sector. The digital revolution is now attacking this area through chatbots that aim to be at least as good as entry-level customer service representatives or shopping assistants. Gartner says that by 2020, the customer will manage 85% of their interactions with a company without dealing with a human. The goal is to create conversational instances which don't sound or behave like robots, but as human-like as possible. To achieve this ambitious target, the chatbot needs to understand language, context, tone and even subtle nuances like sarcasm. The tool which can enhance this is sentiment analysis, a process which automatically extracts both the topic and the feeling from the sentence or voice input.


Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

@machinelearnbot

Sentiment Analysis (or) Opinion Mining is a field of NLP that deals with extracting subjective information (positive/negative, like/dislike, emotions). Learn why it's useful and how to approach the problem. There are Rule-Based and ML-Based approaches. The details are really important - training data and feature extraction are critical. Sentiment Lexicons provide us with lists of words in different sentiment categories that we can use for building our feature set.