DSA Transparency Report – December 2024

DonationAlerts

This DSA Transparency Report covers the content moderation activities of CEBC B.V., being the owner of the DonationAlerts, under the Digital Services Act (DSA), for the period from 17^th January 2024 – to 31^st December, 2024.

Section 1. Information on number of orders received from EU Member States’ authorities

Metric	Total number	Member States of the European Union
Metric	Total number	DE	ES	IT	Other
Member State orders
Number of orders to act against illegal content	0	0	0	0	0
Number of orders to provide information	11	5	5	1	0
Median time to inform the authority of the receipt of the order to act against illegal content	3	3	3	3	N/A
Median time to give effect to the order to act against illegal content	10	10	10	10	N/A
Moderation divided by category
Scams and/or fraud	11	5	5	1	0

Section 2. Information on number of notices

The DonationAlerts notice and action mechanism in accordance with Article 16 of the DSA is available at DonationAlerts’ Help Center here.

Metric	Total number	Notice and Action mechanism (NAM)
Metric	Total number	NAM total	Trusted Flagger
Number of notices received	0	0	0
Median time to take action on the basis of the notice	N/A	N/A	N/A
Number and types of actions taken on the basis of the law	0	0	0
Number and types of actions taken on the basis of the terms and conditions of service	0	0	0
Number and types of alleged illegal content concerned	0	0	0
Number of notices processed by using automated means	0	0	0

Section 3. Information on own-initiative content moderation

DonationAlerts takes all possible measures to ensure that its users are satisfied with DonationAlerts services while remaining within the legal framework. DonationAlerts is using a combination of live moderation, ongoing moderation, and post-moderation. There are two types of content moderation by DonationAlerts: automated review and human review.

In addition to that, any user (whether registered on DonationAlerts or not) can leave a complaint through customer support. Every complaint is followed by a detailed investigation to determine how to deal with the user in question. As soon as there is evidence of abuse, any violation of laws and regulations is prevented within 24 hours.

Automated tools are also used by DonationAlerts. This includes automated tools that detect fraud and other user suspicious activities. AI-driven content analysis tools have also been deployed to identify any content that may violate applicable laws and regulations, as well as DonationAlerts’ policies. DonationAlerts’ automated tools are continually trained and enhanced to address new and emerging threats.

Persons in charge of content moderation receive comprehensive training when they join the team. This initial training is enhanced by continuous trainings to keep personnel updated on all issues that require active involvement and prompt response from DonationAlerts’ team.

Total number of content moderation measures taken: 272112

Number of content moderation measures taken detected solely using automated means: 136

Content moderation measures taken categorised by type of restriction applied:

Types of restriction measures	Number of measures taken
Account blocking	22440

Content moderation measures taken categorised by type of illegal content or violation of terms and conditions:

Types of illegal content or violation of terms and conditions	Number of measures taken
Violation of copyrights, trademarks, patents, and other intellectual property rights	10
Promotion of violence, illegal activities, weapons, explosives	91
Fraud, causing harm to third parties	22205
Advertising online casinos, slot machines, poker, gambling	49
Other	85

Section 4. Information on number of complaints

Metric	Number
Out-of-court dispute submitted bodies
Number of decisions submitted to out-of-court dispute settlement bodies	0
Internal complaints mechanism
Number of complaints submitted to the internal-complaints mechanism	22400

Section 5. Information on any use of automated means for the purpose of content moderation

Metric	Total Number
Accuracy rate of the items processed solely by automated means	87%
Accuracy rate of the items processed partly by automated means	100%
Error rate of the automated means applied	13%
Safeguards applied to the use of automated means	DonationAlerts performs constant random sampling of the automatically approved items and sends them to moderators to ensure that the quality of automated approvals is within the acceptable range.