Information Extraction
What to Know About the Facebook Data Leak
Data from a 2019 hack of Facebook Inc. was made public in recent days, revealing the phone numbers and personal information of more than a half-billion people. While the data came from a vulnerability of Facebook platforms that the company says it has since fixed, security experts say that scammers could use the information for nefarious purposes like spam email and robocalling. Regulators in Europe have asked Facebook for more details about the data leak. Facebook said Tuesday in a blog post that the data leak reflects the ongoing need to police actions of bad actors on its platform. Here is what you need to know.
Facebook data leak: Australians urged to check and secure social media accounts
Australians are being urged to secure their social media accounts after the details of more than 500 million global Facebook users were found online in a massive data breach. The details published freely online included names, phone numbers, email addresses, account IDs and bios. In a statement, Facebook said the leaked information was old, and came from a problem it had resolved in 2019, but experts told Guardian Australia the data could still cause problems for users caught up in the breach. So what might hackers do with your info? How can you check if your data was leaked?
Ticker: MassArt holds auction to fund scholarships; Facebook data on more than 500M accounts found online
The Massachusetts College of Art and Design is holding a virtual auction to help support student scholarships. The silent auction portion of the fundraising event ends at noon on April 11, while a live auction takes place online on the evening of April 10. The 32nd annual MassArt Auction is the second conducted online due to the pandemic. Artists who have had their works juried into the auction donate either 50% or 100% of the sale price to support MassArt scholarships. The two auctions will feature over 300 works from MassArt students, graduates, members of the faculty and others.
Data from 500 million Facebook accounts posted online, reports say
Washington – Data affecting more than 500 million Facebook users that was originally leaked in 2019, including email addresses and phone numbers, has been posted on an online hackers forum, according to media reports and a cybercrime expert. "All 533,000,000 Facebook records were just leaked for free," Alon Gal, chief technology officer at the Hudson Rock cybercrime intelligence firm, said Saturday on Twitter. He denounced what he called the "absolute negligence" of Facebook. Some of the data appeared to be current, according to a report in Business Insider which AFP was unable to confirm independently. It said some of the leaked phone numbers still belong to the owners of Facebook accounts.
Sentiment Analysis of Social Media
We live in a world where the globe is connected and communication made easy with the click of a button. In this social age, the evolution of the World Wide Web (www), characterized by the advancement of smartphones and semantic technology, has redefined social media as a retail platform and an indispensable marketing tool. Social media marketing (SMM) is a form of digital marketing that involves sharing content on social media platforms in an attempt to actualize a firm's branding, sales, and web traffic goals. Social media has become essential to helping brands connect to a wider range of customers, establish brand presence, and increase sales both in-store and online. Considering the size of this new virtual market, it comes as no surprise that marketers would choose to use social media to increase brand awareness.
How can Sentiment Analysis be Used for Brand Management
The main motive of using sentiment analysis is to find out the true feelings of the varied people living in our society. It can be used for analyzing the customer feedback of a particular company, normal users on social media towards a product, services, social issues, or political agendas. Companies also use it for brand analysis, reputation crises, campaigns performances, competitor analysis, and improve the service offered to the customers. Analyzing the sentiments of the customers helps the customer support team to prioritize their work for offering better service to end-users. What are the common challenges with which sentiment analysis deals?
AI-Based Sentiment Analysis Improves Customer Experience
Capturing IT effort that is overlooked or misinterpreted by Key Performance Indicators. KPIs such as call duration are not necessarily the best way to measure the effectiveness your IT support staff. For example, a long phone call may mean that your agent is handling a complex issue--not having trouble resolving it. You can use Sentiment Analysis to identify the agents that are consistently involved in calls with a positive sentiment, so you can reward them and use them to mentor less experienced team members. By pulling sentiment data into your IT department's KPI reports, you can find correlations that might otherwise be hidden.
A New Approach To Text Rating Classification Using Sentiment Analysis
In our current day and age, reviews are part of almost every product/service provided on the internet[14], as seen in [8] it is the primary way for a company to get an understanding concerning the amount of success their product has and as examined in [7] for the customer to build trust in purchasing or using a service of which only a description or a picture exits. Therefore, a need for a deeper understanding and analysis of those reviews are needed[9] for any individual who wishes to derive various consequences regarding a product. Standard methods for such insight derivation include sentiment analysis, around which we will formulate a new approach for review rating classification. Reviews across the internet mainly consist of text-based and rating-based formats, where in many cases, a combination of both is considered a single review; the method developed in this paper focuses on the ability to associate a review to a rating cluster based on sentiment proportions. We will define two main groups: one group consisting of a majority of reviews higher than three stars (in a 5-star ranking system) and another group of all reviews, which correspond to the less than three stars.