Category: Data Security

GDPR – Will This Four-letter Word Change the Digital Economy?

May 29, 2018

It’s been a confusing few weeks this month, especially with most people learning about the General Data Protection Regulation (GDPR) only now. The GDPR aims to empower European citizens with data privacy rights and personal information privacy. It applies to not only the citizens of the European Union but also to residents of the EU. GDPR also applies to companies that may indirectly deal with the residents of the EU one way or another. In this article let us learn what GDPR is, what the implications of the new regulations are, and what you can do to comply with it. What is GDPR? With rising concerns about data privacy and rights regarding personal information of individuals, the framework for GDPR has been around for quite sometime. However, the regulators rolled the new rules last week, and almost all businesses that deal with data have to comply with them. The GDPR seeks to empower residents of the European Union with rights related digital information and personal data. It specifies how long data can be stored, how it can be used, with whom data can be shared, and how that data is going to be used. As personal data is used by almost all companies and businesses for a variety of reasons such as marketing, product development, client service, etc, every department and business is going to be affected. The most important aspect of GDPR is its insistence on consent. Not just any consent, but GDPR requires companies and businesses to posses affirmative consent. This means, individuals have to provide affirmative consent for their personal data to be used and there needs to be documented evidence for the consent that is procured. GDPR also requires all companies to update their terms and conditions in simple language that can be understood by everyone. Legalese and jargon will no longer be allowed while seeking consent for using personal data. The purpose of GDPR is to make it all transparent, ethical, and safe for individual users. In short, GDPR seeks to: Enforce restrictions on how personal data can be used Makes affirmative consent mandatory for data to be used Privacy terms and conditions should explicitly state how data is going to be used, for long, and with whom it will be shared Larger companies may have to hire a data control officer Immediately notify authorities when there is a breach of security to personal data If the breach of security is huge, the data control officer needs to work with the business concerned Cookies, and other forms of technology and software tools that track behavior or personal information need to have consent form too How is it going to affect businesses? Most businesses will feel the effects of GDPR in the near future. Software companies, marketing agencies, companies that take up outsourced projects, etc. will be affected by the GDPR. E-commerce industry will be affected too, as they collect information related to their customers, behavioral statistics, and web traffic information. In short, any business that uses customer information will need to comply with GDPR, especially if the company uses English or other European languages such as French, German, Spanish, etc. Each company or organization will need to seek explicit consent from each customer and document that consent for possible audits. What about the grey areas? Yes, there are many grey areas involved in GDPR. Most legal experts aren’t sure how GDPR is going to play out, and what its implications will be on Blockchain, artificial intelligence, data analytics, machine learning, data generated by the Internet of Things-enabled devices, etc. It is also unclear how actively the regulators are going to pursue companies that are based out of the EU, unless they are bigwigs like Google or Facebook. Moreover, there are rumors that many legislators feel the GDPR cannot be easily enforced outside the European Union, giving rise to greyer areas within the already grey areas. What businesses need to do now It is not all doom and gloom, and businesses can quickly comply with GDPR regulations. It takes little effort to understand how GDPR is going to affect each company, and working with a lawyer is aware of data usage rights should be able to help business owners. There are many things that businesses can do in order to comply with the GDPR. In short You will need to stop using email lists that have been purchased Contact all customers, email contacts, and leads to seek their permission for their data to be used Redevelop and redesign website forms and contact forms Hire a data protection officer if necessary Document consent of your contacts to prove you can use their personal information such as gender, age, email address, contact information, etc. Seek legal help all along. A lawyer specializing in data privacy is your best friend at the moment. Looking ahead Though GDPR seems like a scary and confusing situation, it is an opportunity for you to revisit certain terms and conditions, and ensure that you are dealing with your customers in a transparent manner. It is also a great time to get rid of unwanted data, remove unwanted or useless contacts, and become a leaner organization. However, make sure you seek legal help. Also, speak to web developers who can help you update your website forms, content, and terms and conditions. If need be, hire a data protection officer as well. Meanwhile, the Internet is littered with hilarious memes and tweets regarding GDPR. Here are a few that we found funny, but realistic nonetheless. Take a look at them, while you work on your GDPR compliance goals. When you’re the only person in Britain wishing you could receive emails about GDPR pic.twitter.com/ZEAxbpEKlD — Mo' (@mocent0) May 23, 2018 https://twitter.com/_Katenip/status/999312682829443077 Happy GDPR eve pic.twitter.com/5nnRiczHGV — TwistedDoodles (@twisteddoodles) May 24, 2018 https://twitter.com/darylginn/status/999232167732445185 Sorry I couldn't hang out this week, I was reading the updated privacy policy from every website I've ever visited — Zack Bornstein (@ZackBornstein) May 25, 2018 Want to know more about GDPR? Here’s what experts say about

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#TwitterChat: Privacy Awareness is always Good for Businesses – Demystifying GDPR

May 22, 2018

There has been a dramatic transformation in the way we communicate and our handling of everyday tasks. We do everything online. We send emails, buy goods, store documents, pay bills, all by entering our personal data. But what happens to all these information that we have shared online? These data include banking information, social media posts, your personal photos, contacts, addresses even your IP address and the sites visited by you. Companies collect data to serve you better, for a better customer experience but is that all they use these data for? The big question was thoroughly discussed by EU and they came up with a solution. On the 25th of May 2018 a new European Privacy Regulation, GDPR will be imposed and it will permanently change the way data is collected, stored and used. If you do not have a plan to be ready for GDPR, it is high time now. We hosted a Twitter chat on Privacy Awareness is always Good for Businesses – Demystifying GDPR’ where Chris Smith, Head of Operations at PORT (@smithcjb1989) and Matt Rutherford, Head of Customer Success at 9 Spokes (@mattr) as our panelists. A lot of deep insights came into focus. Let us quickly go through the interesting discussion. A1 – GDPR – General Data Protection Regulation – is a regulation in EU law on data protection and privacy for all individuals within the European Union. It also addresses the export of personal data outside the EU. #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 1: A step to bring privacy regulation in line with the digital age! The UK's current privacy regulation was made law in the same year Google was founded! #DigitalSuccess @indusnettech @mattr — Chris Smith (@smithcjb1989) May 22, 2018 A2: the biggest challenge we faced around #gdpr is the quantum of confusion and misinformation floating around. I think of you respect privacy, just organise your committment around a framework and you are sorted. Not sure if I am over simplifying it.#DigitalSuccess — Abhishek Rungta (@abhishekrungta) May 22, 2018 A2 – Primary problem – understanding the rules. There is a LOT of (mis)information about, so make sure you check the source by visiting the ICO website : https://t.co/BsvJRdt0JB or the European – https://t.co/8edrSR2nTn site #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 They have a range of challenges! For #SME and #Enterprises the biggest issue is often the data mess they currently have with legacy data and systems making keeping track of personal data a real challenge #DigitalSuccess @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 A3 – Using a tool might be more comprehensive and speed things up for you – but assess this against your risk-profile, needs and exposure. #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 3: Lots of tools like @MailChimp and @HubSpot are also releasing other smaller bits of functionality that will help a business operate in a compliant manner. Do check them out but remember that alone won't make you compliant #DigitalSuccess #GDPR @mattr @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 A4 – Products and services will need to be designed with privacy in mind. Privacy by Design brings many benefits – no least of which is those trustworthy organisations will have a competitive advantage #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 4: #GDPR puts greater emphasis on accountability so in terms of a documented strategy we should be seeing more. More than that though, data protection should be central to organisations – get it wrong and businesses could lose out #DigitalSuccess @mattr @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 A5 – Not EVERY organisation needs a DPO – although public authorities do, and any organisation that is involved in systematic monitoring of individuals, or activities relating to criminal convictions #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 5: However, even if an official DPO is not a legal requirement, having a named and accountable individual internally I would say is pretty much a must #DigitalSuccess @mattr @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 A6 The GDPR definition provides for a wide range of personal identifiers to constitute personal data, inc. name, identification no., location data or online identifier, reflecting changes in technology and the way orgs collect information abt people. #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 6: It's any information that can be related directly or indirectly to an individual. Importantly this does now include digital identifiers such as IP address #DigitalSuccess @mattr @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 A7: My only concern is that, the terms and conditions on website and services may be crafted such that #GDPR loses it's purpose. But the opt-out can is certainly a big relief. #DigitalSuccess — Abhishek Rungta (@abhishekrungta) May 22, 2018 You need new practices : 1. New opt-in permission rules / 2. Proof of consent storing systems / 3. A method for consumers to ask for their personal information to be removed. #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 A7 – Email marketing under GDPR essentially means that, as an email marketer, you need to collect freely given, specific, informed and unambiguous consent. #DigitalSuccess @indusnettech — MattR 👓 🇺🇦 (@mattr) May 22, 2018 Answer 7: The big issue at the moment is one of consent. This is why your inboxes are cluttered! The criteria for consent have become far more strict and much marketing won't be able to take place without legitimate consent #DigitalSuccess @mattr @indusnettech — Chris Smith (@smithcjb1989) May 22, 2018 Answer 7: Whilst it's cluttered inboxes for now, it should mean more engaged groups of individuals on mailing lists who really want to hear from brands and interact with them #DigitalSuccess @mattr @indusnettech #GDPR — Chris Smith (@smithcjb1989) May 22, 2018 A8 – There are some specific GDPR specialists who are looking at HR. I'd recommend starting with a checklist like

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How Big Data Improves Claims Process

April 19, 2018

For a long time, the insurance industry has struggled with the claims process. Manual verification of claims, processing of claims amount, and segmenting policyholders before claims are made to avert undesirable outcomes have all been cumbersome for insurance companies. Thankfully, data analytics have come to the rescue of insurance companies like the proverbial knight in the shining armor. With all that data available today, it has only become easier for insurers to carefully segment policyholders and provide better products customized for individual needs. This has helped not only to cross-sell and up-sell insurance products but also to enhance customer satisfaction. In addition, Big Data has helped insurance companies to process claims quickly and efficiently. While Big Data is inherently vast and contains extremely useful information, it is also its nature to be superfluous and chaotic. Too much information and data can actually cause difficulties for insurance companies which often seek specific information and data about customers and insurance trends. This is where data analytics comes riding on horses. In this article, let us take a look at how Big Data improves claims process and saves the day for insurers. Why do we need Big Data Analytics in claims process? Because claims is a complicated business. As an insurer can vouch for it, claims processing is no easy business. Most insurance professionals consider the processing of claims the most arduous and difficult part of their professional duties. Yet, it is also the most important and crucial aspect of policy handling and processing. Processing of claims consists of four important steps: Intimation or communication: The policyholder communicates his claims to the insurer Registration: The insurer makes note of this communication, and begins the process of approving or disapproving the claim Handling: In this step, the insurer has to verify and assess the nature of the claim, and its validity Settlement: If the claim is found valid, the settlement is made, and payments are processed While it may seem simple on the outside, it is a gnarly and prickly business for those who are actually involved in the claims process. This is because care needs to be taken that customers do not feel offended at any point and that each sub-step is smooth and transparent. We must also remember that each of these four steps have multiple ramifications for the insurer, intermediaries if any, and the claimant. The claims process and the four sub-steps involve a number of decision points all of which are based on verification of data and analyzing what is already known and predicting certain outcomes. These outcomes involve operations, management of risk, settling the final amount, and ensuring that customers remain loyal to the insurance brand. Claims analytics makes sure that all these steps in claims process are easily handled, and processed quickly and efficiently, without any errors. Claims Analytics to the rescue Claims Analytics is a unique technology that uses Big Data Analytics, Predictive Analytics and programming to make sense of structured and unstructured datasets during all the four steps of claims processing. Predictive analytics helps in recognizing trends and predicting outcomes, while prescriptive analytics helps insurers to take decisions quickly. Claims Analytics as a tool can be customized for each insurer so that their tool is perfectly tailor-made for their unique product and market requirements. Claims Analytics helps pick and choose relevant datasets from a seemingly chaotic Big Data, to arrive at solutions automatically. Claims Analytics helps insurers to : Detect fraud: Insurers no longer have to worry about unpleasant conversations, and wasted man-hours in trying to assess the veracity and authenticity of claims made. Claims Analytics can be programmed to automate the process, the verifications and detecting fraudulent claims. Track renewals: Insurers can quickly renew automatically and track when policies are not being renewed so that reminders can be sent. This step also involved predicting future risks and assessing if a policy is worthy enough of being renewed. Predict outcomes: This has a variety of implications. Predictive analytics helps insurers to predict if a customer is going to be high-risk or a desirable customer. It also helps to predict market trends and claim outcomes. Gain business and market insights: Market and sales forecasting are very important for insurers to gain a competitive edge. Big Data analytics helps insurers to look at the macrocosm of the insurance market and gain business insights, so that they serve their customers better, and also grow profitable. In which areas can analytics enhance insurance claims data? Claims Analytics can help insurance industry in a number of ways when it comes to enhancing insurance claims data. Let us take a look at some of the areas that are currently being supported by Claims Analytics. Fraud: Predictive analysis uses advanced statistics and programming to make use of Big Data and derive analytics. Fraudulent claims can be identified quickly at every step thanks to algorithms, data mining, and other methods. Subrogation: Insurers can initiate subrogation processes to claim losses caused by a third party to the claimant if the situation allows for it. Claims Analytics helps wade through medical and police records, adjuster notes, social conversations, etc. to identify subrogation opportunities. Sooner these opportunities are identified, the lesser the insurer’s losses will be. Predictive analytics helps identify such opportunities quickly. Settlement: Claims Analytics helps in analyzing claim histories effectively and shorten the cycle of processing. This enhances customer satisfaction and reduces insurers’ labor costs. It also has ramifications in claim settlements made. Loss reserve: Claims Analytics can also be used to predict the magnitude of a claim that is made. Similar claims made elsewhere can be compared with current claims, and losses and expenditure can be estimated. Activity: Claims Analytics comes empowered with powerful data mining techniques which help in assigning importance to claims so that each claim can be assigned to an adjuster appropriate for the situation. This helps avoid assigning seemingly complex claims to the most experienced adjusters, only to find out the claim could actually have been processed automatically. Litigation: Litigation

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Facebook Data Breach – The Recent Updates

April 13, 2018

In recent times the massive data leak at Facebook & the Cambridge Analytica fiasco shook the world. Post which Mark Zuckergburg, the CEO of Facebook was called for an hearing by the US Congress. What came out from the testimony of Zuckerberg has made the common people question Facebook and it’s practices even further. Here are what people are talking about #FacebookHearing on Twitter: Mark Zuckerberg being swarmed by cameras is the perfect metaphor for online privacy todayhttps://t.co/KQfUNCOKYt#Facebook #Privacy #FacebookDataLeaks #FacebookHearing pic.twitter.com/yXvSJTJ887 — Marvin Stone (@MarvinStone) April 11, 2018 If nothing else convinces you that tech education is imp "hopefully" today's hearings will. Even if folks don't go into tech it's vitally important that future generations understand 'how tech works'. As one of my fav sayings goes—"code or be coded"- Rushkoff #FacebookHearing — Kimberly Bryant (@6Gems) April 10, 2018 The good, bad, and awkwardof Zuckerberg’s testimony before Congress https://t.co/zwUz6APz34 | #FacebookHearing #FacebookHearings https://t.co/oquIhqbdCI — Matthijs Pontier, PhD 🏴‍☠️ Piratenpartij 🥇👑 (@Matthijs85) April 11, 2018 #FacebookHearing #FacebookDataLeak#CambridgeAnalytica Will do best to maintain integrity of elections in India: Facebook CEO #MarkZuckerberg to US lawmakers Read: https://t.co/0k5JmaGza0 pic.twitter.com/QsTbXSjbmn — The Times Of India (@timesofindia) April 11, 2018 #FacebookDataLeak #FacebookHearing #CambridgeAnalytica#MarkZuckerberg says @facebook will do best to protect the integrity of elections in India, US, Pakistan https://t.co/qFNLo8OYVx via @TOIWorld pic.twitter.com/lvTaczqXRD — The Times Of India (@timesofindia) April 12, 2018 The biggest damage done by Facebook isn't data mining. More damage is done by Facebook algorithms which give users news and opinion they are predisposed to agree with already. #FacebookDataBreach #facebook — Michael de Adder (@deAdder) April 5, 2018 Facebook: "This is their information. They own it"BBC: "And you won’t sell it?"FB: "No! Of course not." Please help this 2009 interview of Facebook's CEO get seen by people who don't use Twitter. Here's a download link so you can pull and repost it: https://t.co/c32DmpVIig pic.twitter.com/quERsO5WZi — Edward Snowden (@Snowden) March 27, 2018 "…the raw data that @Facebook uses to create user-interest inferences is not available to users. It’s data about them, but it’s not their data."- @alexismadrigal, on point, as usual. https://t.co/5TGGjYos4s pic.twitter.com/faWoWlyLEt — Alexander B. Howard (@digiphile) April 12, 2018 In case you were wondering…"Here's How Facebook Tracks You When You're Not On Facebook https://t.co/yWSaBxnc6k via @kantrowitz — mala bhargava (@malabhargava) April 12, 2018 This is one of the biggest scandals of this era. The big question remains “How will this be fixed?” The views are not our own.

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Winds of Change in the Insurance Sector : Blockchain in InsurTech

April 4, 2018

When Kelly Thomas started to work as an independent insurance broker in 2003, she only had a brick-like cellphone and a clunky laptop on which she made her presentations to company directors, hoping they would buy policies for their employees. Fast forward to 2018, Kelly has a successful insurance consultancy in New York and is often asked when she is going to adopt blockchain technology. She feels overwhelmed but is constantly looking for ways to implement blockchain. Overview of Blockchain For the uninitiated, blockchain as-we-know-it-today began its journey in 2009, when crypto-currencies such as Bitcoin started to become popular. What was initially a vehicle for the digital currency, quickly metamorphosed into the next big thing after the Internet. In a Blockchain, transactions are stored in discrete data blocks. These blocks are stored on decentralized registers, also known as “ledgers”. Every transaction is immutable, which means, once a transaction is registered as “having taken place”, no one can edit it. This is the very premise of Blockchain and the reason why it is so secure. Human intervention cannot alter previous transactions, and every human intervention is recorded, and for it to take place, there needs to be the consensus of the sort. This consensus can be mutually agreed upon so that future transactions take place automatically, over a super-secure and decentralized network. In short, Blockchain makes sure that every event or transaction is recorded permanently, and the transaction goes through only when certain pre-agreed conditions are met, and there is absolutely no room for hacking, tampering, altering of facts, or unsupervised editing. Such a technology finds itself invaluable in various industry sectors such as insurance, banking, and finance, identity management, healthcare, etc. Evolution of Blockchain in the insurance industry The insurance industry is one of the most conservative environments in the world, alongside banking and finance. Insurance entities need to be conservative because claims handling are based on trust, and both insurers and policy-holders depend on mutual trust for creating an environment of security against various threats (against which policies are bought, and risks are underwritten). Insurance industry’s reluctance to adopt newer and innovative technologies is often viewed as its tendency to be recalcitrant towards innovation. However, this is not true. The insurance industry has traditionally adopted the “wait and watch” approach when it comes to making big changes, and this tendency has helped it to survive for centuries. The situation today is no different than when insurance agents were skeptical about using online methods and mobile applications to process policies and claims. The insurance industry consists of $1.2 trillion of global economy, and 74% of this space is dominated by online policy purchases. Technology adoption has so far been from the side of consumers, who have adopted IoT technology in cars, and incorporated “smart home” technology to lower their premiums and insurance costs. However, insurers and underwriters too have slowly adopted technologies such as data analytics, predictive analysis, and artificial intelligence to determine risk and assign premium costs accurately. These technologies are part of what is now termed as “InsurTech”, a space that consists of various technologies to help move the insurance industry forward. Blockchain is increasingly part of InsurTech because it adds a layer of trust and safety that other technologies simply cannot. Indeed, the most successful insurance companies have already begun to implement blockchain to validate transactions and to authenticate claims processing. Insurance giants which have remained reluctant to adopt blockchain stand the risk of becoming irrelevant or losing out to competitors. Let us take a look at how blockchain helps insurers. Insurance policy criteria are programmed into smart contracts Smart contracts determine if insurance claims are authentic and if they meet the criteria set by authoritative sources Once authenticated, Smart Contracts use Blockchain to process payments automatically. Blockchain eliminates biases and prejudices on the part of the insurer while processing payments, while it also eliminates false claims made by consumers. How Blockchain can be used in insurance Let us take a look at how Blockchain can be used by insurers, and why it is so important to begin now. Identity management The identity of the policyholder is one of the most crucial factors while processing claims. Blockchain is the safest and quickest way to authenticate an individual or a group of individuals’ identity. Using blockchain-based identity management helps insurers to eliminate identity thefts, impersonations, and errors in claims processing. Fraud detection Insurance frauds are etched in popular memory, with Hollywood noirs often using them as the basis of their plots. Billy Wilder’s 1944 film noir Double Indemnity comes to our mind. Whether it is a well-planned insurance heist or an unethical insurer trying to outwit a genuine claim, it is straight down the line for both the insurer and the policy-holder. Blockchain eliminates all kinds of frauds and helps reduce costs associated with fraudulent insurance claims. Peer-to-peer insurance P2P insurance consists of a group of individuals with similar interests, who pool their premiums to insure against a certain risk. Blockchain helps to authenticate claims processing in P2P insurance, and eliminates false claims altogether, and automates the process of claims processing. P2P insurance is also known as social insurance, and Blockchain can help increase trust in such P2P models. Minimize errors Claims processing is often riddled with errors, both intentional and unintentional. Blockchain helps to mitigate this by automatically cross-verifying with various data sources before authorizing transactions or events. This reduces the probability of errors and minimizes unwarranted payouts. Risk reduction Blockchain technology helps bring like-minded people together and work on a consensus basis to authorize transactions automatically. This means multiple insurers can come together and agree to share risks by taking a portion of the responsibility when huge losses occur. Participants in such a model can consent to use Blockchain as their reference data as it is immutable and transparent. Smart contracts One of the reasons why Blockchain is so popular is because of Smart Contracts. Smart Contracts work on the principle of Blockchain, and approve

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Facebook & Cambridge Analytica Saga : Here is what the Stalwarts are saying

March 21, 2018

The social media giant Facebook is confronted by tremendous controversies after the breakthrough news came in the limelight last week, resulting in 9 percent drop-down of its shares. Uk based analysis firm Cambridge Analytica, best known for campaigning 2016 presidential election of U.S. President Donald Trump, has been accused to use 50 million Facebook users data without their consent. If the speculation of utilizing this data for Trump’s election victory and the Brexit vote to be proved, then it will have a huge socio-economic impact. As the lawmakers in the U.S. and the U.K, are questioning their business ethics and demanding CEO Mark Zuckerberg explain his company’s practices, we present some views going on strongly on Twitter : This is such a shocking story in its details. We shrug off #DataPrivacy because we think it's basically inconsequential to our real lives. But the impact of #CambridgeAnalytica just began to be felt in 2015 and spread to 50 MILLION or 1 in 6 Americans.1/ https://t.co/GPUtcPExEF — Victoria Brownworth (@VABVOX) March 17, 2018 https://twitter.com/LNeckermann/status/976009395707564032 We are still in the 'wild west' area of cloud computing and social media. Users must be given a middle ground between accepting a fishy privacy policy or not using a service (like Google or FB) at all. #CambridgeAnalytica #AI #Cloud #dataprivacy — Marc-Oliver Gewaltig (@gewaltig) March 20, 2018 https://twitter.com/iMariaJohnsen/status/975498914534232064 @chrisinsilico , the #CambridgeAnalytica whistleblower who revealed 50 millions Facebook files taken in record breach is now blocked by #Facebook to access his personal account, messenger, & Instagram. #Socialmedia platforms run their own fiefdom & they can throttle voice. pic.twitter.com/uoLdwKAopb — Kumar Manish (@kumarmanish9) March 21, 2018 Wow. This thread is powerful and important. And computer science is having that moment of reckoning now. Facebook and Cambridge Analytica is only the tip of the iceberg. https://t.co/6C0Kw1Dt74 — Tim O'Reilly (@timoreilly) March 19, 2018 https://twitter.com/hshaban/status/976304280800870400 https://twitter.com/fmanjoo/status/976325450539548673 Facebook is now under investigation by the FTC. Key question is whether they violated the consent decree from 2011, when they were last busted for privacy violations #CorporateRecidivism #DeleteFacebook https://t.co/feOZWKMSsR — DHH (@dhh) March 20, 2018 Yet Another Lesson from the #CambridgeAnalytica Fiasco: Remove the Barriers to User #Privacy Control: @EFF https://t.co/JwKktP44Q6 — Gate 15 (@Gate_15_Analyst) March 21, 2018 WhatsApp Co-founder #BrianActon has joined the #deletefacebook movementhttps://t.co/OeeZ76sdpo #cambridgeanalytica #facebook pic.twitter.com/eNOavb1dJG — YourStory (@YourStoryCo) March 21, 2018 Facebook has suspended Cambridge Analytica’s access to its platform, this act truly brings to the surface the never-ending data security concern of common masses yet again. The views are not our own.

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