Key points
- Examine inconsistencies and small details closely
- Watch out for images that appear to be unrealistically perfect
- Use reverse image search to trace the search and check authenticity
ISLAMABAD: As social media platforms grow more sophisticated, the challenge of distinguishing fact from fiction becomes increasingly complex.
In recent years, the spread of fake news—particularly generated content through Artificial Intelligence (AI)—has surged, making it extremely difficult for users to separate reality from digital fabrication.
The intent behind these false narratives often stems from a desire to deceive, mislead, or manipulate public opinion.
One of the most concerning aspects of this trend is the rapid improvement in AI-generated images. While many AI images appear impressively realistic, there are still subtle clues that can help users spot the fakes.
Here are three key ways to identify AI-generated images:
Minute examination
Although AI technology has made remarkable strides, it still struggles with certain fine details—especially uncommon elements in the training data. For example, AI-generated hands often appear distorted or unnatural.
Another common giveaway is text. In AI-generated images, text and logos are nonsensical. AI tools frequently mishandle text, producing jumbled or meaningless words, particularly on clothing or signs—areas where our eyes expect clarity and precision.
Too perfect to be real
AI images often have a “too perfect” quality to them. Smooth, unrealistically even skin, overly symmetrical features, and pristine environments are all potential signs of artificial manipulation.
Additionally, backgrounds in AI images often seem implausible or fantastical—like a flock of flamingos casually wandering into the frame—adding to the sense that something is off.
Reverse search verification
If you are still unsure whether an image is authentic, a reverse image search can be a powerful tool. This technique allows users to find where else an image appears online, offering context and comparison. AI-generated images typically appear less frequently across the internet, which can indicate their inauthenticity.
Reverse searches can also trace images back to their original sources, where metadata, hashtags, or the identity of the uploader may help confirm whether the content is AI-generated. Verifying whether the image originates from a credible news source or a reputable website is another critical step in assessing authenticity.
Fighting fake news
As the demand for reliable information grows, a number of AI-powered tools have emerged to combat the spread of disinformation.
Here are three standout platforms leading the charge:
The Factual
Launched in 2016, The Factual—a California-based AI-powered platform—analyses over 10,000 news stories each day, providing users with credibility scores via a newsletter, browser extension, mobile app, and website.
The tool evaluates articles based on several factors, including the publication’s history, the author’s credibility, and the diversity of sources cited—offering quick, data-driven assessments of news content.
“Check” by Meedan
Developed in 2019 by the nonprofit organisation, Meedan, Check—headquartered in San Francisco, California—works closely with major platforms like WhatsApp and Facebook to identify and combat misinformation.
Check is designed to support fact-checkers and journalists by streamlining the verification process, particularly in regions where misinformation spreads rapidly via messaging apps.
Logically
Founded in 2017 in the United Kingdom, Logically combines AI-driven analysis with human expertise to verify information across various formats, including images and text.
Available as a mobile app and browser extension, Logically monitors over one million websites and social media platforms in real time, helping users evaluate the validity of news stories, public claims, and viral content.
