The Blog of MeaningCloud - MeaningCloud 2024年11月27日
Language Technology vs. Disinformation
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随着社交媒体的兴起,虚假信息(假新闻)的传播日益严重,引发了公众和政府的担忧。本文介绍了虚假信息、错误信息和恶意信息的区分,以及欧盟委员会为应对虚假信息而采取的行动计划。文章重点关注了MeaningCloud公司在利用文本分析技术自动检测虚假新闻方面的努力,并邀请读者参加由欧盟委员会举办的关于语言技术对抗虚假信息的在线研讨会,届时MeaningCloud将分享其自动检测虚假新闻的方法。

🤔 **虚假信息传播日益严重**: 2016年美国总统大选后,社交媒体成为虚假信息的主要传播途径,导致公众对传统媒体信任度下降,并引发了对新闻质量、影响和可信度的担忧。

🔎 **虚假信息、错误信息和恶意信息的区分**: UNESCO出版物将信息分为三种类型:虚假信息(故意制造的虚假信息,旨在造成伤害)、错误信息(非故意制造的虚假信息)和恶意信息(基于现实,用于伤害特定目标的信息)。

🌍 **欧盟委员会的行动计划**: 面对虚假信息带来的挑战,欧盟委员会于2018年12月向欧洲议会提交了“打击虚假信息行动计划”。

💡 **MeaningCloud的文本分析方法**: MeaningCloud公司致力于利用文本分析技术自动检测虚假新闻,并开发了相应的软件服务,其创新总监Julio Villena将在研讨会上分享相关经验。

📅 **语言技术对抗虚假信息研讨会**: 欧盟委员会举办的免费在线研讨会“语言技术对抗虚假信息”将于11月24日举行,MeaningCloud受邀参加并分享自动检测虚假新闻的经验。

Following the 2016 US presidential election, many have expressed concern about the effects of false stories (“fake news”), circulated largely through social media. Research from Oxford University’s Reuters Institute for the Study of Journalism has found a long and steady decline in trust in traditional media. (See Reuters Institute Digital News Report 2020). This declining trust coincides with the uprise of social media as a main source of information. In 2020, social media was a source of news for 48 percent of the public, up from 27 percent in 2013, according to the Reuters Institute.

At the same time, orchestrated campaigns are spreading untruths that are often unwittingly shared on social media, raising questions about the quality, impact, and credibility of journalism. Even the concept of “disinformation” requires clarification. According to the authors of a book published by UNESCO (Journalism, fake news & disinformation: handbook for journalism education and training, Ireton & Posetti, UNESCO, 2018), it is necessary to distinguish between:

– Disinformation: Information that is false and deliberately created to harm a person, social group, organization, or country

– Misinformation: Information that is false but not created with the intention of causing harm

– Mal-information: Information that is based on reality, used to inflict harm on a person, social group, organization, or country.

In this scenario, the concern of citizens and governments about the phenomenon of disinformation has increased. As an example, the European Commission addressed an “Action Plan against Disinformation” to the European Parliament in December 2018.

At MeaningCloud, disinformation is an issue that concerns us in a special way. Not in vain are we providers for automatic proofreading, analysis, labeling, and classification of news for large media companies. Thus, in October 2019, our Director of Innovation, Julio Villena, published an article on our blog entitled “Case Study: Text Analytics against Fake News”. It explained our approach to the problem of automatic false news detection, the basis of a software service that we developed for that purpose.

On November 24, from 10:00 to 16:00 CET, you are invited to the workshop “Language Technology vs. Disinformation“. This free online forum is organized by the European Commission (DG Connect, Directorate-General for Communications Networks, Content and Technology). MeaningCloud participates in this event through an invited talk, where Julio Villena will be presenting our approach to the automatic detection of fake news: “Detecting fake news: humans vs. AI”.

Access detailed information, agenda, and free registration for this event. Do not miss it!

 

The post Language Technology vs. Disinformation appeared first on MeaningCloud.

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虚假信息 语言技术 文本分析 人工智能 社交媒体
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