You are using an outdated browser and your browsing experience will not be optimal. Please update to the latest version of Microsoft Edge, Google Chrome or Mozilla Firefox. Install Microsoft Edge

April 8, 2020

New Penalties for Posting Fake News on Social Networks

On February 3, 2020, the Vietnamese Government issued Decree No. 15/2020/ND-CP stipulating penalties for administrative violations in the fields of postal services, telecommunications, radio frequency, information technology, and electronic transactions (“Decree 15”). Decree 15 will replace the existing decree on penalties in the technology and telecom sectors (Decree No. 174/2013/ND-CP) and will take effect on April 15, 2020.

One of the most notable features provided by Decree 15 is the introduction of specific administrative penalties for users who post or share fake news on social networks, which will be imposed in addition to any civil and/or criminal liabilities related to distortion, slander, defamation and the like.

Penalties for Social Network Users

In particular, Article 101 of Decree 15 sets out the penalties for violations of regulations on the use of social networks. These include administrative fines of between VND 10 million (approx. USD 430) and VND 20 million (approx. USD 860) on social network users who commit the following violations:

  1. Posting or sharing false information (fake news) or untruthful, distorted, or slanderous information that offends the reputation of agencies or organizations or the honor and dignity of individuals;
  2. Posting or sharing information that advocates unsound customs, superstition, obscenity, or depravity which is not in line with the traditions and fine customs of the nation;
  3. Posting or sharing graphic depictions of acts of slashing, killing, accidents, or horror;
  4. Posting or sharing fabricated information that causes panic among the population or incites violence, crime, social evils or gambling, or that serves gambling activities;
  5. Posting or sharing press, literature and art works or publications without the permission of the copyright holder, or works that have not been approved for circulation, or have been banned or revoked;
  6. Advertising, promoting, or sharing information about banned goods and services;
  7. Posting or sharing inaccurate maps of Vietnam;
  8. Posting or sharing links to websites with banned content.

Higher administrative fines of VND 20 million (approx. USD 860) to VND 30 million (approx. USD 1,290) are imposed on the disclosure of information classified as state secrets or personal secrets, but which is not serious enough to face criminal punishment.

Moreover, in all of the above cases, the violators would also be required to remove the fake news or violating content that was posted or shared.

Penalties for Social Network Providers

Correspondingly, Decree 15 also imposes additional penalties on social network providers who fail to prevent fake news from being posted on their social networks.

In particular, Article 100.3 of Decree 15 imposes an administrative fine of VND 50 million (approx. USD 2,130) up to VND 70 million (approx. USD 3,000) on social network providers who fail to block or remove violating information (including fake news) from their platforms, and/or who intentionally provide, store, or transmit the violating content listed in items 1-7 above, or information that is considered not to be in the country’s interest.

Violating social network providers would also be required to remove the fake news or violating content that was posted or shared, and be subject to suspension of their social network license and/or revocation of their social network’s domain name.

Penalties in Other Fields

In addition to the foregoing newly stipulated penalties on fake news, the administrative penalties on various other violations in the fields of postal services, telecommunications, radio frequency, information technology and electronic transactions have also been overhauled. For example, penalties related to data privacy and security have been slightly increased. Notably, penalties on violations related to collecting personal information without consent are increased from VND 10 million (approx. 430) to VND 20 million (approx. USD 860); and penalties on violations related to adopting adequate cybersecurity measures are increased from VND 20 million (approx. USD 860) to VND 50 million (approx. USD 2,150).

For more information on Decree 15, please contact us at [email protected].

RELATED INSIGHTS​ 

June 23, 2026
On May 26, 2026, Thailand’s Department of Land Transport (DLT) published for public consultation a draft amendment to the Ministerial Regulation on Electronic Ride-Hailing Vehicles that would, for the first time, allow juristic persons (legal entities) to register vehicles as electronic ride-hailing cars—a right that currently belongs exclusively to natural persons, limited to one person per one vehicle. If finalized in its current form, the regulation would significantly expand the supply side of Thailand’s ride-hailing market by enabling corporate fleet operators to enter the space. The public comment period is open through June 24, 2026. Key Principles Under the Draft Regulation Under the proposed amendment, juristic persons that maintain a fleet of at least 50 vehicles will be permitted to register vehicles as electronic ride-hailing cars. This represents a fundamental shift from the current framework, which restricts registration to individual natural persons on a one-person-one-car basis. Vehicle Specifications Corporate-owned ride-hailing vehicles must meet the following requirements: Be brand new from the factory, or no more than two years old from first registration with no more than 20,000 km of use. Not be a vehicle that has been reconstructed or repaired after involvement in a serious accident affecting safety—a standard consistent with public transport vehicles (RorYor. 6). Be classified as small, medium, or large in accordance with ministerial or director-general specifications. The vehicles may be equipped with safety devices such as interior or exterior cameras (video/photo recording) and can retain the original factory color of the vehicle body (no mandatory color change is required). License Plates Corporate ride-hailing vehicles will use license plates of the same size, characteristics, and color as those for private passenger vehicles not exceeding seven seats (RorYor. 1), rather than public transport plates. Potential Impact The government has stated that the regulation is intended to: Promote
June 23, 2026
On May 14, 2026, Thailand published a ministerial regulation in the Government Gazette to prescribe measures for prevention and suppression of technology crimes. The regulation creates a comprehensive procedural framework for returning money and digital assets to victims of technology crimes. It will take effect 90 days after publication (in mid-August 2026), giving affected entities a limited window to prepare. Mandatory Reporting Obligations for Financial Institutions When a deposit account, e-money account, or digital asset wallet is frozen in connection with a technology crime, the relevant financial institution or business operator must report transaction data to the Anti-Money Laundering Office (AMLO) via AMLO’s designated electronic system. Required data elements include account numbers (sender and receiver), names, identification or passport numbers, legal entity registration numbers, phone numbers, remaining balance, damage amount, transaction reference numbers, and the bank case ID. Institutions that already share data through the information-sharing system under the emergency decree are deemed to have satisfied this reporting obligation, creating an incentive for platform participation. When the Royal Thai Police or the Department of Special Investigation seize or freeze assets related to technology crimes, they must provide AMLO with investigation reports, complaint evidence, money-trail data, and account statements. Notification and Claims Process Once the AMLO secretary-general approves verified reports of a technology crime, the account information of persons connected to the crime will be published in the Government Gazette, triggering a 90-day window for victims to file claims and for related persons to file objections. Officers will also publish details on AMLO’s electronic media and send registered mail to identified victims, which will be deemed received after 7 days domestically or 15 days internationally. Victims have 90 days from the date the crime is published in the Government Gazette to file claims through AMLO’s electronic system. Claims must include
June 15, 2026
The surge in AI development has led to a desperate demand for large, high-quality training data. However, real-world data can be expensive to collect, difficult to access, and often subject to strict privacy and regulatory constraints. Synthetic data, which consists of artificially generated records that replicate the statistical properties of real-world data without reproducing specific individuals’ information, provides an appealing solution by generating artificial datasets at scale without relying on identifiable personal information. It combines speed, cost efficiency, and regulatory compliance, making it a sensible alternative for organizations seeking to reduce risks while maintaining data utility. When properly anonymized, synthetic datasets may fall outside the scope of laws such as the EU’s General Data Protection Regulation (GDPR) or Thailand’s Personal Data Protection Act (PDPA), reducing compliance burdens while still supporting high-quality model training. However, relying on synthetic data without rigorous legal due diligence could be a strategic mistake. It replaces one set of known risks (scraping, direct privacy liability) with a new set of complex liabilities. The narrative that synthetic data is a “silver bullet” for privacy and IP compliance is dangerous and could be misleading. While synthetic data addresses data scarcity, it also introduces new legal uncertainties. Legal counsel should anticipate downstream risks arising from compromised data sources. Models trained on unlawfully obtained data may need to be decommissioned, even if their outputs appear lawful. What is synthetic data? Synthetic data refers to artificially generated information created using AI techniques such as deep learning and generative models. Instead of copying real records, it reproduces the statistical patterns and relationships found in the original dataset. Synthetic data generally falls into three categories: Fully synthetic data – Entirely new data points generated from learned patterns. The model studies the structure of the original data and produces records that resemble real-world
June 11, 2026
Thailand’s Electronic Transactions Development Agency (ETDA) has released a revised draft Electronic Transactions Act (ETA) for public hearing from May 12, 2026, to June 15, 2026. This is not merely an amendment to certain provisions of the current ETA, but a comprehensive redrafting of the entire act. The revised draft ETA introduces several significant changes from the current framework, with practical implications for businesses operating in Thailand. Unified Coverage of Public and Private Sectors The current law segregates government transactions into a separate chapter with distinct rules. The draft ETA eliminates this division, defining “transaction” to encompass civil and commercial juristic acts as well as administrative procedures, administrative contracts, and other acts of government agencies. Enhanced E-Signature Definition The definition of “electronic signature” is broadened to expressly include biometric data and refocused on identifying the signatory and demonstrating intent regarding the content of the electronic data. Shift in Burden of Proof When a party challenges the reliability of electronic data created using a “trusted electronic method” or a method prescribed by the ETDA, the burden of proof and the cost of proving unreliability shifts to the challenger. Introduction of New Digital Method Concepts The draft ETA introduces several new digital method concepts that are not currently recognized under the existing ETA framework. These include: Electronic timestamping (e-timestamp) Electronic registered delivery Electronic company seals Electronic stamp duty compliance Electronic identity authentication and verification Electronic transferable records (electronic bills of lading, promissory notes, and similar negotiable instruments) Recognition of Automated Systems and Electronic Contracting The draft ETA expressly recognizes the legal validity and enforceability of contracts formed through automated systems, including contracts concluded entirely between automated systems or between an automated system and a person. A party may not deny the binding effect of such contracts solely because no human review