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Nigeria Court Jails Couple 22yrs, India Lady 15yrs For Drug Abuse
https://osazuwaakonedo.news/nigeria-court-jails-couple-22yrs-india-lady-15yrs-for-drug-abuse/05/08/2025/
#NDLEA #Thailand #Angola #India ©August 5th, 2025 ®August 5, 2025 6:53 pm Separate Law Courts in Nigeria have convicted and sentenced married couple, Ajah Johnson Uchenna and his wife, Rosemary Uchenna to 17 and 5 years imprisonment following their involvement in illicit drugs activities, and a 42-year-old Indian lady, Neetu Neetu, convicted and sentenced to 15 years imprisonment with an option of fine to reduce the jail term to five years in accordance with some of the charges that earned her 10 years out of the 15 years total jail term awarded against her for bringing into Nigeria illicit drugs from Thailand, while a 42-year-old Angolan businessman, Mbala Dajou Abuba was convicted and sentenced to five years imprisonment for making an attempt to ship hard drugs to Istanbul, Turkey. #OsazuwaAkonedo
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couple Arjur Johnson Uchenna and his wife Rosemary Uchenna to
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seventeen and five years imprisonment following their involvement in illicit
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drugs activities, and a forty two year old Indian lady
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Nitu Nitu convicted and sentenced to fifteen years imprisonment with
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an option of fine to reduce the jail term to
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five years in accordance with some of the charges that
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earned her ten years out of the fifteen years total
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jail term awarded against her for bringing into Nigeria illicit
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drugs from Thailand, while a forty two year old Angolan
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businessman Imbaladaju Abuba was convicted and sentenced to five years
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imprisonment for making an attempt to ship hard drugs to Istanbul, Turkey.
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National Drug Law Enforcement Agency ndl EA, in a new
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statement on Tuesday, said the agency also secured the final
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forfeiture of multi billion naira Lagos hotel and cars used
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for illicit drug deay tribution. Details of the report reads
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verbatim below. A businessman arjer Johnson Uchenner and his wife
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Rosemary Uchenna were on Monday, the fourth of August twenty
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twenty five, sentence to a total of twenty two and
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a half year’s imprisonment by Justice Dan Dipaolu of the
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Federal High Court eight in Lagos for dealing in illicit drugs.
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The couple was first arrested on Friday, the thirteenth of
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June by operatives of the Department of State Security DSS
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in a Joe area of the state and transferred to
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ndl EA along with two hundred and seventy seven point
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five kilograms skunk, a strain of cannabis. While they were
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still being investigated in custody, credible intelligence revealed that the
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family business was going on in their house. This led
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to a raid of their home and a packing store,
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where two hundred and thirty one kilograms of same substance
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was recovered by ndl EA operatives on Tuesday, the first
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of July. They were so subsequently arraigned in charge number
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FHC L six hundred thirty two c twenty twenty five
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at the Federal High Court Legos on a four count
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charge bordering on conspiracy dealing in storage of four hundred
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and fourteen point two kilograms of cannabis sativa. Delivering his
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judgment on the case on Monday the fourth of August,
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Justice de Peoulu convicted Missus Rosemary Uchenna on counts one,
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two and three and sentenced her to seventeen years in
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prison without an auction of fine, while her husband, Johnson
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Arjo Uchenna was convicted and sentenced to five years imprisonment
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without auction of fine on count one and six months
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in jail on count four with an auction of one
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million niras fine. In addition to the jail terms, the
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trial judge also ordered the sum of three million, four
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hundred and seven thousand Nira three niras four hundred and
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seven thousand point zero only recovered from the couple as
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proceeds of crime be forfeited to same federal government. Similarly,
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a Federal High Court in Karno, presided by Justice Simon A. Mobeda,
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has convicted and sentenced to forty two year old Indian
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lady Nitu Nitu to five years imprisonment for importing seventy
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two parcels of heroin factory sealed in wayfer wraps and
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packaged as chocolates weighing eleven kilograms into Nigeria through the
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malan Aminu Carno International Airport, Makia, Karno. The class of
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drug consignment was recovered from Nitou’s luggage after a thorough
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search following process credible intelligence during an inward clearance of
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Qatar Airways flight QR one four three one from Bangkok,
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Thailand via Vietnam and Dohar at the arrival hall of
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the Carno Airport on Friday the fourteenth of March twenty
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twenty five. She was subsequently arraigned in charge number fhc
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per Kilineuton c R sixty five, two thousand and twenty
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fifths before Justice her Mobeda, who eventually sentenced her to
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tenure on two counts with an option of two million
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nairas fine. In like manner, a forty two year old
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Angolan businessman Imbaladaju Abuba was convicted and sentenced to five
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years in prison by Justice Mohammad Yunusa of a Federal
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High Court in Karno following his arrest and arraignment by
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ndl EA for ingesting one hundred and twenty pellets of
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cocaine weighing one point eight two nine kilograms. Abuba, who
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is from the Zayre Province in Angola, was arrested on Tuesday,
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the twenty fifth of February twenty twenty five at the
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screening point of the Krno Airport while trying to board
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egypt Air flight m S eight one hundred and eighty
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to Istanbul, Turkey via Cairo. Equally, a Federal High Court
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in Enugu has convicted another drug trafficker as Christian A.
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Kenna on two counts of unlawful trafficking and possession of
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eleven point two zero kilograms of cocaine brought against him
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by the NDL EA in charge number FHC s z
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CS nine two thousand and twenty thirds. He was arrested
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on January twentieth, twenty twenty three by NDLA operatives at
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the Okanu Ibium International Airport, Enugu upon arrival from Brazil
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via Addis Ababa, Ethiopia, with eleven point two zero kilograms
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of cocaine concealed in herbal t sachets. He was subsequently
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arraigned before Justice M. G Umar of the Federal High Court, Enugu,
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who eventually sentenced him to three years imprisonment on each
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count totaling six years, while the sentence will run concurrently
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effective from May twentieth, twenty twenty three. In yet another
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high impact breakthrough in its ongoing war against illicit drug
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trafficking across Nigeria, the NDLA has secured the final forfeiture
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of a multi billion naira eighty room hotel and lounge
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in Victoria Island, Lagos, linked to an illicit drug trafficking cartel,
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along with other assets. The eighty room hotel in Victoria Island, Legos,
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used as cover for distributing illicit substances, was raided between
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Friday twenty fifth and Saturday, the twenty sixth of April
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twenty twenty five by NDL EA operatives who after hours
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of combing the rooms, recovered five hundred and eighty nine
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bags of Canadian laud, a strong strain of cannabis with
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a total weight of four hundred and seventeen point three
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kilograms worth one million, forty two million, five hundred thousand
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narer one billion, forty two million, five hundred thousand narers
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only in street value forfeited along with the landed properties
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situated at number sixteen Waziri Ibrahem Street off els Femipiis Road,
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Victoria Island. Lagos include Toyota Siena vehicle marked KJA seventy
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nine h J, Volkswagen Delivery Van numbered triple A five
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hundred and twenty five Shire Kiir Sarantocar with plate number
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b d G eight hundred and sixty GQ black color,
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Land Cruiser Prado with played number a k D four
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hundred and seventy two d Z red color, Grand Caravan
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Dodge with played number APP eight hundred and forty seven
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YF white color, Masdabus marked kt U two hundred and
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forty one, triple A Mercedes Benz truck with registration number
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A s B five hundred x Y gold color, Toyota
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Corolla car with registration number e k Y two hundred
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and ninety five j t ash color, CNA Mini Bus,
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eighty four television sets, seventy n new conditioners, and thirteen
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new fridges. The final forfeiture orders were issued on Friday
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the eighteenth of July twenty twenty five by Justice Ibraheim
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Armored KLA, following the motion number f HC L MIST
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four hundred and forty seven two thousand and twenty fifths
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filed by nd l e A reacting to the conviction
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and forfeiture court judgments. MMEN, Chief Executive Officer of ndl EA,
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Brigadier General Mohammad Babamahwa Retired, commended the various commands of
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the agency, their offices and men that handled the various cases,
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as well as the judiciary for delivering prompt judgments to
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strengthen the deterrent effect of NDLA efforts. Nothing serves the
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cause of justice more than when the criminal elements are
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given long jail terms and made to forfeit all they
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have acquired through the proceeds of their illicit drug trade
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and were happy with this kind of judicial pronouncements which
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will not only encourage our men to do more, but
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will have long lasting impact on our drug control efforts.
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MAWA stated has presented and made available by Femi Babafemi,
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Director Media and Advocacy ndl EA on Tuesday the fifth
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of August twenty twenty five. Lady Guindi Uinni in Emogi
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l

Osazuwa Akonedo is a Nigerian media professional, author, and consultant. His work spans various sectors of communication and literature:
Journalism and Media: He is the founder of OsazuwaAkonedo, which focuses on news analysis and commentary. He also provides consultancy services in media and banking.
Literature: He is a published playwright and author of Nigerian literature. One of his notable works is the drama titled The End Shall Tell: What Exam Malpractice Can Cause, which addresses educational and social issues in Nigeria.
Reporting: He frequently reports on regional news, particularly concerning Edo State and broader Nigerian current affairs. Credit: Google Gemini AI Mode
Osazuwa Akonedo is a Nigerian media creator, journalist, and entrepreneur who engages audiences via news reporting, social media content, music, and a mobile application.
Professional Background and Company
Osazuwa Akonedo is associated with OSAZUWAAKONEDO LIMITED, a company registered in Nigeria that operates in media consultancy and news services
The company is headquartered in Benin City, Edo State, Nigeria, and has been active in publishing news in various formats including text, audio, video, and photos
Social Media and Online Platforms
Osazuwa Akonedo maintains a strong online presence on several platforms:
TikTok: Shares news updates and reports, for example, covering police operations in Nigeria
YouTube: Operates a channel where he uploads videos on current affairs and news content
Twitter/X: Active under the handle @akonedo_osazuwa, posting updates on events and news
Facebook: Profiles listing his connection to news and media activities can be found on Facebook
Mobile App: Offers a dedicated mobile application for news access through Google Play (Osazuwa Akonedo News App) providing text, video, and photo news formats
News Reporting and Content
He produces news content covering national and local stories, including criminal activities, government updates, and investigative reports
Other Contributions
He also hosts podcasts documenting significant events, e.g, NDLEA arrests related to historical criminal cases
Summary
Osazuwa Akonedo is a multifaceted media professional engaged in journalism, social media content creation, music, and technology via his news app. He utilizes platforms like TikTok, YouTube, Twitter/X, Facebook, and mobile applications to disseminate news and reach audiences both locally and internationally Credit: Azure AI
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Google Hotel Ads helps hotels reach potential guests with targeted search ads, driving direct bookings and visibility.
Google Maps is a web mapping service providing satellite imagery, real-time navigation, and location-based information.
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Google Surveys allows businesses to create custom surveys to gather insights and feedback from targeted audiences quickly.
A popular social media platform for sharing photos and videos, connecting users through visual storytelling.
LinkedIn Insight is a web analytics service that tracks and reports website traffic.
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Media.net is a leading ad tech company providing contextual advertising solutions for publishers and advertisers.
Pinterest is a visual discovery platform for sharing and exploring creative ideas through images and links.
Pinterest Tag is a web analytics service that tracks and reports website traffic.
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A social media platform for discussion, sharing content, and community engagement across various topics and interests.
Smartadserver is a comprehensive ad management platform for publishers and advertisers, optimizing digital advertising campaigns.
A multimedia messaging app for sharing photos, videos, and stories that disappear after viewing.
Taboola is a content discovery platform that recommends articles and videos to engage users across the web.
A social media platform for creating, sharing, and discovering short videos, often featuring music and creative effects.
TikTok Pixel is a tracking tool that measures user interactions and optimizes ad campaigns on the TikTok platform.
https://osazuwaakonedo.news: ads.tiktok.com (opens in a new window)
X, formerly known as Twitter, is a social networking and microblogging platform.
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X Pixel enables businesses to track user interactions and optimize ad performance on the X platform effectively.
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Yahoo offers a web portal, search engine, and email services, providing news, finance, and entertainment content.
A video-sharing platform for users to upload, view, and share videos across various genres and topics.
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These purposes are part of the IAB Transparency & Consent Framework.
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Examples:
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
Examples:
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
Examples:
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
Examples:
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
Examples:
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
Examples:
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
Examples:
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
Examples:
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
Examples:
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Examples:
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
Examples:
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
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