motivation for data mining in social media

Dataminr can count 391 million new reasons why that won’t be the case any time soon. This February, the ACLU of Massachusetts uncovered evidence of prejudice in social media surveillance efforts by the Boston Police Department (BPD). Looking for “Islamist extremist terminology,” the BPD targeted keywords including “ISIS” and “Islamic State,” but also phrases like #MuslimLivesMatter” and “ummah,” the Arabic word for community. But that doesn’t tell you the whole story. One study into the topic of data mining in social media … The researchers generated approximately 250 features and developed a machine-learning model that output risk scores of people at risk of re-entering jail in the near future. Find out which tech stocks we love, like, and avoid in this special report, now available for all Nanalyze Premium annual subscribers. Personal finance reporter Erica Sandberg, who covered the issue of social media datamining in a story for CreditCards.com, said that if a data mining company turns your chatter and … As we are living in a digital world, data … And companies like the infamous (and now defunct). Social data. Twitter reportedly has a 5 percent stake in the company and provides Dataminr with exclusive access to its “firehose,” or the full feed of users’ public posts. In fact, Cate's proposition that governments should ensure residents are comfortable with data mining initiatives is inherently linked with Kortz's objections on the grounds of reasonable expectation of privacy. For example, Twitter users might be the first to report on a chemical plant explosion but they’re not likely going to know what exactly exploded that’s turning them into an army of clown-faced zombies. This way, cities could ensure that residents understand and have provided input on social mining programs before deploying them. Using tools from GeoFeedia, a company that offers location-based analytics platforms, the Huntington Beach Police Department (HBPD) was able to monitor social media activity near parking garages in the area—places where teens often meet to drink or use drugs, occasionally leading to altercations over drug deals or other more serious crimes. Twitter reportedly has a 5 percent stake in the company and provides Dataminr with exclusive access to its “firehose,” or the full feed of users’ public posts. “Revealing algorithms tells the public close to nothing,” he said. For Kortz, targeting terms like #blacklivesmatter is a paradigmatic example of racial profiling—identifying people as suspects based on their race. If government actions meet these requirements, their potential chilling effect must then be weighed against the government’s goal in introducing the policy. Is it then okay to prioritize areas based on these kinds of racial signals? data mining social media. That’s also valuable when aggregated, such as seen below: While social media listening tools have been around for years, few have attracted the sort of investments that have come to New York-based Dataminr. The raw voice of the customer is collected without the time and expense of surveys and focus groups. “While companies shouldn’t have to reveal their algorithms in their entirety, they should have to log certain steps. By definition, ‘Social media mining’ is a process that involves extracting data from data mines, processing the data and finally creating the required information knowledge.Social media mining … However, instead of sending this data to the police so they can keep their eyes on certain residents, the County will send the list of people with high risk scores to the mental health center’s emergency services so these individuals can be connected to care and decrease the likelihood of future police interactions. In 2017, Facebook and Instagram banned all users from leveraging back-end data for surveillance. Social media mining is “the process of representing, analyzing, and extracting actionable patterns from social media data.” 3 In simpler terms, social media mining occurs when a company or organization collects data about social media … These are also the same people who probably drive windowless cargo vans filled with shiny toys. His property showed up yellow. Mining Social Media. . It’s best to require private companies to output an auditable trail.”. The other question is whether or not this action is “narrowly tailored” to achieving the goal. For example, Twitter users might be the first to report on a chemical plant explosion but they’re not likely going to know what exactly exploded that’s turning them into an army of clown-faced zombies. and also focuses scope of the data mining in social media which will be helpful in the further research. Late last month, Dataminr closed a $391.6 million Series E, bringing the startup’s total funding up to a staggering $577 million. Social media data in the context of crisis communication can also be analysed to gain additional, previously unknown information, if volunteers e.g. The analysis of the data revealed that almost all respondents used social media. The company’s algorithms can reportedly discern fake news from real news because the signals that come in during an actual emergency usually include details such as photos, TechCrunch reported. While Garcia established that necessarily public information—like the location of a car—can be monitored over time in the presence of reasonable suspicion, what about information intended by Facebook users only for friends that GeoFeedia and Snaptrends have made it their goal to access? By Companies like Dataminr will continue to find new opportunities to leverage big data and AI, and scandals will continue to happen as companies dabble in all this newly found big data. In fact, the American Civil Liberties Union of California discovered Dataminr helped track social media posts relating to protests in one case. This ties back to Cate’s endorsement of institutional review boards, which “would look at whether or not the department is using bad data, using it inappropriately, or using it with a bad algorithm,” he explained. It turns out that sort of surveillance is against Twitter’s policies and access was eventually blocked. Social Media Big Data Mining May Improve Population Health. When pursuing social mining, cities must think more carefully about privacy, free speech, and profiling. However, social mining may also miscategorize residents based on hyperbolic or sarcastic posts or even by misidentifying them completely. Using social media mining that leverages advances in natural language processing and machine learning to pull useful data from text and images, cities can transform these social posts into data points ripe for analysis. In 2017, Dataminr rolled out a new tool in New York City that identifies emergency situations through the Twitter firehose and alerts the city’s first responders. In that case, there wasn’t much H&M could do, as it lost celebrity endorsements, while stores in South Africa were vandalized. Again, these questions about privacy protections around social media mining seem to lack any definitive legal answer. Dataminr had allowed these fusion centers to identify individual tweets and users linked to events and keywords, according to The Verge. Police departments need a better, more ethical way of mining social media. For, ensuring transparency as well as public participation and education around data mining initiatives is a way of bringing expectations in line with the technological capacities possessed by governments. Keywords - Data mining, social media, clusterin g, classification. It turns out that sort of surveillance is against Twitter’s policies and access was eventually blocked. Cate however offered that this may not be particularly important. Governments should therefore structure their data collection efforts around the desires and needs of residents. “It’s to claim, ‘You can say that, but we’re going to be listening.’”. The first is the type of information gathered by government surveillance; gathering public information—like public social media posts—is traditionally permissible. Pure-play disruptive tech stocks are not only hard to find, but investing in them is risky business. In fact, the American Civil Liberties Union of California discovered Dataminr helped track social media posts relating to protests in one case. But Dataminr was there to cover the ongoing controversy for its clients. Therefore, it’s no surprise that social media data mining software is being applied in many areas. (i.e., location information) to police intelligence centers, which in government-speak are known as fusion centers. Before we get to the Spy vs Spy chapter in our story, let’s talk a bit more about what exactly Dataminr does. The company serves five broad industries: finance, corporate security, public sector (including law enforcement), news and public relations. But Dataminr was there to cover the ongoing controversy for its clients. Motivations for Data Mining in Social Media: The data accessible through Social media platform can give us insights into social networks and societies … Case law has established that information volunteered to a third party loses its privacy protections, but scholars have argued that Facebook posts do not fall under this category. InfoQ Homepage Articles COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data AI, ML & Data Engineering Sign Up for QCon Plus Spring 2021 Updates (May … This is because social media represents an enormous amount of data that marketers and others are able to perform data mining on. With a remarkable rise of social media in the recent years, the application of data mining methods to social media data is also getting increasing recognition. As one example, the City of Huntington Beach, CA used social media monitoring to inform its policing efforts during the U.S. Open of Surfing in 2015, an event that often leads to increased crime along with the large crowds it attracts. INTRODUCTION . The experience of Fresno City Councilmember Clinton Olivier shows that social media mining can be a misleading source of information. Social media mining offers the potential to track residents’ moves as they document their activities at tagged locations throughout the day. Similarly, according to Kortz, “In the case of social media, most people expect that only a couple of their friends view their Facebook profiles, but considering the potential for social media mining, there’s a gap between what people expect and what is possible… Expectations define privacy, but they often lag behind reality.”. Like Kortz, he calls for a balance between the privacy of proprietary algorithms and the right to transparency. On the surface, it sounds pretty simple: Dataminr aggregates social media data in real-time, including upwards of 500 million tweets per day, and uses machine learning to identify and deliver relevant news to its clients before the breaking news headline hits CNN (though CNN is a media partner). Social data lies in between these two methods: it provides qualitative detail at quantitative scale. From pictures of emergency conditions to posts about crimes in progress, users constantly inundate Facebook, Instagram, Twitter, and other platforms with posts that may contain rich and timely information about events relevant to public safety. Before the dawn of the Digital Age, there was an oft-used expression, “I’m an open book,” meaning it’s easy to know what someone is feeling or thinking because they hide nothing. Big Data: Big Brother or Bigger Than Any of Us. Chris Bousquet In 2017, Dataminr rolled out a new tool in New York City that identifies emergency situations through the Twitter firehose and alerts the city’s first responders. Just in case you’re not paranoid enough, The Intercept reported earlier this year about a former VP at Dataminr named Patrick Ryan (running for office at the time of the report) who allegedly used his access to various data mining technologies to spy on left-wing activists. “Municipal data has a lot of potential, but it’s about how cities intervene once they have data,” said Kortz. The goals behind social media data mining include extracting valuable data from consumers, identifying patterns and trends, and forming business conclusions. But that doesn’t tell you the whole story. Dataminr sent its first alert about the disaster about 12 minutes ahead of major news reports and helped emergency responders get to the scene that much quicker. Using Social Media to Enhance Emergency Situation Awareness Abstract: The described system uses natural language processing and data mining techniques to extract situation awareness information … Following the revelation by the ACLU of California that the Fresno Police Department had targeted terms like “justiceformike” and “police brutality,” social media mining came to be associated with racial profiling. The New York Post, which has a huge digital media presence, has used Dataminr for news tips on many major stories, such as the death of American student Otto Warmbier following his release from North Korea and the U.S. Congressional baseball practice shooting in Del Ray, Virginia last year. For example, in United States v. Garcia (2007), the Court ruled that attaching a GPS tracker to the car of someone suspected of manufacturing methamphetamine did not violate Fourth Amendment privacy protections. The rise of social media empires like Facebook and Twitter means that millions, if not billions, of our fellow humans are an open book these days. Social Media & Data Mining is a lesson that can help you cover more information about these tools, including: Why social media is important for companies The goal of data mining Internal police records from Working Narratives revealed that one of GeoFeedia’s stated goals was to bypass privacy options offered by sites like Facebook. This Constitutional standard requires that the government action does not result in outcomes irrelevant to the stated goal and that it does accomplish the essential aspects of the goal. Rather, he calls for governments to publish information on the quality of the underlying data and the effectiveness of the predictions based on independent tests. 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