Best Disinformation Detection Tools for Mac of 2024

Find and compare the best Disinformation Detection tools for Mac in 2024

Use the comparison tool below to compare the top Disinformation Detection tools for Mac on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Maltego Reviews

    Maltego

    Maltego Technologies

    $999 per user per year
    Maltego can be used by many users, including security professionals, forensic investigators and investigative journalists as well as researchers. You can easily gather information from disparate data sources. All information can be automatically linked and combined into one graph. Automately combine disparate data sources using point-and-click logic. Our intuitive graphical user interface allows you to enrich your data. You can detect patterns even in the largest graphs using entity weights. You can annotate your graph and then export it for further use. Maltego defaults to using our public Transform server. We have learned over the years that flexibility is important in choosing the right infrastructure for enterprise users.
  • 2
    LiarLiar Reviews

    LiarLiar

    LiarLiar

    $29.99 one-time payment
    Supports all your favorite tools and platforms. LiarLiar uses cutting-edge AI to analyze body language, heart rate and micro movements to detect deception. Our tool provides you with unprecedented insight into the truth when it comes to video calls or video analyses. LiarLiar is easy to set up and operate thanks to its user-friendly interface. Even those with little tech knowledge can become experts at detecting lies by clicking a button. LiarLiar is compatible with popular video call programs like Zoom, Google Meet and Skype. It can also be used to analyze videos from YouTube or local videos. Analyze any conversation at any time. We're offering lifetime beta access for just $29.99. LiarLiar is a powerful tool that you can use to expose your lies. You will also receive updates for a low price. Install LiarLiar using our simple installer on your Windows or Mac device.
  • 3
    Fakespot Reviews

    Fakespot

    Fakespot

    Free
    Fakespot will protect you from being ripped off while shopping online. Join the secure online shopping revolution to get the truth before you buy about products, reviews and sellers. Fakespot is there to protect you when you shop online, whether at home or via mobile. Fakespot’s new browser app lets you browse the open web and, when you land on sites we support, Fakespot’s features will be enabled to help you make informed purchases. Share via other browsers and shopping apps. Share to analyze functionality remains for users who are coming from our old app. Since Fakespot was founded, we have analyzed more than 9 billion product and seller ratings. Our analysis helps you to make informed decisions, so that you will love everything you purchase and never return a thing. Fakespot is always up-to-date with the latest threats, and our algorithms are constantly updated to protect you. Fakespot offers safe, secure shopping, saving you time, money and headaches.
  • 4
    Bot Sentinel Reviews

    Bot Sentinel

    Bot Sentinel

    Free
    Bot Sentinel is designed to be as simple to use as possible, and as informative as we can. We display detailed information publicly about Twitter accounts that the platform is tracking in order to give visitors a better understanding on how nefarious Twitter accounts spread misinformation and target other Twitter accounts. We strive to be as transparent and provide as many data points for visitors as possible. Bot Sentinel, a non-partisan platform, tracks all accounts. The platform uses artificial intelligence and machine learning to classify Twitter profiles and add them to a public database that anyone can access. Our machine-learning model was trained to classify Twitter profiles using thousands of Twitter accounts and millions tweets. The system is able to classify accounts correctly with 95% accuracy. We are not using other machine learning tools that detect "bots" but instead focusing on specific behavior and activities deemed inappropriate for Twitter.
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