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FIFA Will Use AI To Protect Footballers From Hate Speech

The new tool will look for recognized hate speech terms on social media platforms and prevent comments that contain them from reaching their intended recipients.

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fifa will use ai to protect professional footballers from hate speech
Qatar Supreme Committee For Delivery & Legacy

The FIFA World Cup 2022 in Qatar is scheduled to take place in five months, and football fans around the world are already looking forward to the spectacle. Unfortunately, not all fans express their excitement or disappointment nicely.

According to FIFA’s recently published report, which examined over 406,987 social posts across Twitter and Instagram targeting players and coaches for the EURO 2020 Final (England versus Italy) and AFCON 2022 Final (Senegal versus Egypt), 55 percent of players in both tournament finals received some form of online abuse.

The two most common types of online abuse were homophobic slurs and racism, with a majority of abusers coming from the player’s home nation.

Determined to protect players from the abuse they receive online, FIFA has partnered with FIFPRO, a worldwide representative organization for professional footballers, to launch AI-powered in-tournament moderation tools.

“Our duty is to protect football, and that starts with the players who bring so much joy and happiness to all of us by their exploits on the field of play,” said FIFA President Gianni Infantino. “We want our actions to speak louder than our words and that is why we are taking concrete measures to tackle the problem directly.”

Also Read: How To Permanently Delete Your Instagram Account

The new tool will look for recognized hate speech terms on social media websites and prevent comments that contain them from reaching their intended recipients and their following, minimizing their reach. FIFA could also report abuse to the relevant social networks and contact law enforcement authorities to further investigate.

“This detection is not only there to protect football and to avoid the damaging effects that these posts can cause, but also to educate current and future generations who engage with our sport on social media as well as on the field of play,” added the FIFA President.

The role of artificial intelligence in the detection of hate speech is growing rapidly. In the first quarter of 2020, Facebook, estimated that AI proactively detected 88.8 percent of the hate speech content the social network removed, an increase of 8.6 percent compared with the quarter before that.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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