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AI 与
案例简介：为什么这项工作与创意数据相关？ 机器学习和词嵌入技术被用来揭示宣传和新闻之间的区别。两个 AIs 由一个州和一个独立的电视频道 “抚养” 了 6 个月。然后他们被教导回答关于俄罗斯的问题，但只使用他们在观看这些频道的新闻节目时 “学到的” 数据。 背景 俄罗斯的媒体渠道服从于政府。他们总是以对政府有利的方式呈现新闻。他们完全是 “亲普京”，知道如何给人们洗脑。有一个渠道反对他们; 它不是由政府资助的，也不接受任何人的指示，所以它可以讲述被联邦渠道掩盖的事情。 显然，新闻表现的内容、词汇和方式是非常不同的。观看不同频道的人的世界观也不同。 该运动的目标是提高对独立渠道的认识。这也揭示了信息环境作为影响人们思维的关键因素的深层心理问题。 描述想法/数据解决方案 (20% 的选票) 借助谷歌语音到文本服务和单词嵌入技术，经过训练的神经网络可以识别电视节目的语言，识别单词并将文本分成段落。然后教他们选择相关的问题。人工智能是孩子气的，不成熟的头脑，他们没有所有的答案 -- 只有那些他们可以从他们 “消费” 6 个月的内容中写作的人。 结果，创造了两个纯粹和原始的 AIs; 他们就像双胞胎，但没有经验，也没有外部因素影响他们的观点。这两个系统被赋予了 “观看” 每日新闻的任务。然后 AIs 被教导回答任何关于俄罗斯政治，经济和社会生活的问题。问一个问题，一个人就会成为实验的参与者，因为结果是不可预测的，这取决于问题是如何被问的。它激发了用户和 AIs 之间的互动。人们也渴望在社交媒体上分享交流的结果，这导致了许多反应和帖子。 描述数据驱动策略 (30% 的选票) 所选择的策略是针对对获取真实信息感兴趣的政治活跃人士。他们积极使用社交网络，生活在大都市。试图把意见强加给他们是没有用的，因为他们不容忍直接广告。他们习惯于自己做出选择、比较和实验。这就是为什么他们被邀请参加一个实验，这个实验将展示世界观是如何根据信息环境形成的。问一个问题，一个人就会成为实验的参与者，因为结果是不可预测的，这取决于问题是如何被问的。 描述数据的创造性使用，或者数据如何增强创意输出 (30% 的选票) 创新技术的混合 (谷歌语音到文本，训练神经网络，问答模型 (Q & A)，ODQA，单词嵌入) 帮助 AIs 吸收太比特的信息。6 个月后，他们可以回答任何问题。但是只使用他们看过的节目的知识和词汇。使用网站界面，每个人都可以向 AIs 提问并从他们那里获得答案或阅读相关答案。此外，一个人可以投票给他/她更喜欢的系统。 列出数据驱动的结果 (20% 的选票) 这个故事在互联网和媒体上飞速发展。 在一周内 14 048 080 媒体印象 193 427 游客 93% 选民青睐电视雨的人工智能
AI 与
案例简介：Why is this work relevant for Creative Data? Machine Learning and Word Embeddings technology was used to reveal the difference between propaganda and news. Two AIs were “brought up” by a state and an independent TV-channels for 6 months. Then they were taught to answer questions about Russia, but only using the data they “had learned” while watching news programs of those channels. Background Russia’s media channels are subordinated to the government. They always present the news in the way that is beneficial to the government. They are completely “pro-Putin” and know how to brainwash people’s heads. There is a channel that is opposed to them; it is not financed by the government and doesn’t take instructions from anyone, so it can tell about things that are hushed up by the federal channels. Obviously, the content, vocabulary and manner of news representation is very different. The worldview of a person who watches a different channel is different too. The goal of the campaign was to increase awareness of the independent channel. It was also to reveal a deep mental problem of information environment as the crucial factor influencing people’s minds. Describe the idea/data solution (20% of vote) With Google Speech-to-Text service and Word Embeddings technology the trained neural networks could identify the language of TV programs, recognize words and break texts into paragraphs. Then they were taught to choose relevant questions. The AIs are childlike, immature minds who don’t have all answers – only those they can compose from the content they “consumed” for 6 months. As a result, two pure and pristine AIs were created; they are like twins, but with no experience and no outside factors influencing their outlook. The two systems were given a task to “watch” daily news. Then the AIs were taught to answer any questions about political, economic and social life of Russia. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked. It provoked interaction between users and the AIs. People were also eager to share the results of communication on social media, it led to many reactions and posts. Describe the data driven strategy (30% of vote) The chosen strategy was targeted at politically active people interested in obtaining true information. They actively use social networks and live in metropolitan cities. There’s no use in trying to impose an opinion on them, as they are intolerant towards direct advertising. They are used to making choices, comparing and experimenting on their own. That’s why they were offered to participate in an experiment that would show how a worldview is formed depending on the information environment. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked. Describe the creative use of data, or how the data enhanced the creative output (30% of vote) A mix of innovative technologies (Google Speech-to-Text, Trained Neural Network, Question Answering Model (Q&A), ODQA, Word Embeddings) helped AIs absorb terabits of information. After 6 months, they could answer any questions. But only using the knowledge and vocabulary of the programs they had watched. Using the website interface, everybody can ask a question to the AIs and get answers from them or read related answers. Also, one can vote for the system he/she likes more. List the data driven results (20% of vote) The story rocketed around the Internet and media. In one week 14 048 080 media impressions 193 427 visitors 93% voters favored TV Rain's AI
AI Versus
案例简介：为什么这项工作与创意数据相关？ 机器学习和词嵌入技术被用来揭示宣传和新闻之间的区别。两个 AIs 由一个州和一个独立的电视频道 “抚养” 了 6 个月。然后他们被教导回答关于俄罗斯的问题，但只使用他们在观看这些频道的新闻节目时 “学到的” 数据。 背景 俄罗斯的媒体渠道服从于政府。他们总是以对政府有利的方式呈现新闻。他们完全是 “亲普京”，知道如何给人们洗脑。有一个渠道反对他们; 它不是由政府资助的，也不接受任何人的指示，所以它可以讲述被联邦渠道掩盖的事情。 显然，新闻表现的内容、词汇和方式是非常不同的。观看不同频道的人的世界观也不同。 该运动的目标是提高对独立渠道的认识。这也揭示了信息环境作为影响人们思维的关键因素的深层心理问题。 描述想法/数据解决方案 (20% 的选票) 借助谷歌语音到文本服务和单词嵌入技术，经过训练的神经网络可以识别电视节目的语言，识别单词并将文本分成段落。然后教他们选择相关的问题。人工智能是孩子气的，不成熟的头脑，他们没有所有的答案 -- 只有那些他们可以从他们 “消费” 6 个月的内容中写作的人。 结果，创造了两个纯粹和原始的 AIs; 他们就像双胞胎，但没有经验，也没有外部因素影响他们的观点。这两个系统被赋予了 “观看” 每日新闻的任务。然后 AIs 被教导回答任何关于俄罗斯政治，经济和社会生活的问题。问一个问题，一个人就会成为实验的参与者，因为结果是不可预测的，这取决于问题是如何被问的。它激发了用户和 AIs 之间的互动。人们也渴望在社交媒体上分享交流的结果，这导致了许多反应和帖子。 描述数据驱动策略 (30% 的选票) 所选择的策略是针对对获取真实信息感兴趣的政治活跃人士。他们积极使用社交网络，生活在大都市。试图把意见强加给他们是没有用的，因为他们不容忍直接广告。他们习惯于自己做出选择、比较和实验。这就是为什么他们被邀请参加一个实验，这个实验将展示世界观是如何根据信息环境形成的。问一个问题，一个人就会成为实验的参与者，因为结果是不可预测的，这取决于问题是如何被问的。 描述数据的创造性使用，或者数据如何增强创意输出 (30% 的选票) 创新技术的混合 (谷歌语音到文本，训练神经网络，问答模型 (Q & A)，ODQA，单词嵌入) 帮助 AIs 吸收太比特的信息。6 个月后，他们可以回答任何问题。但是只使用他们看过的节目的知识和词汇。使用网站界面，每个人都可以向 AIs 提问并从他们那里获得答案或阅读相关答案。此外，一个人可以投票给他/她更喜欢的系统。 列出数据驱动的结果 (20% 的选票) 这个故事在互联网和媒体上飞速发展。 在一周内 14 048 080 媒体印象 193 427 游客 93% 选民青睐电视雨的人工智能
AI Versus
案例简介：Why is this work relevant for Creative Data? Machine Learning and Word Embeddings technology was used to reveal the difference between propaganda and news. Two AIs were “brought up” by a state and an independent TV-channels for 6 months. Then they were taught to answer questions about Russia, but only using the data they “had learned” while watching news programs of those channels. Background Russia’s media channels are subordinated to the government. They always present the news in the way that is beneficial to the government. They are completely “pro-Putin” and know how to brainwash people’s heads. There is a channel that is opposed to them; it is not financed by the government and doesn’t take instructions from anyone, so it can tell about things that are hushed up by the federal channels. Obviously, the content, vocabulary and manner of news representation is very different. The worldview of a person who watches a different channel is different too. The goal of the campaign was to increase awareness of the independent channel. It was also to reveal a deep mental problem of information environment as the crucial factor influencing people’s minds. Describe the idea/data solution (20% of vote) With Google Speech-to-Text service and Word Embeddings technology the trained neural networks could identify the language of TV programs, recognize words and break texts into paragraphs. Then they were taught to choose relevant questions. The AIs are childlike, immature minds who don’t have all answers – only those they can compose from the content they “consumed” for 6 months. As a result, two pure and pristine AIs were created; they are like twins, but with no experience and no outside factors influencing their outlook. The two systems were given a task to “watch” daily news. Then the AIs were taught to answer any questions about political, economic and social life of Russia. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked. It provoked interaction between users and the AIs. People were also eager to share the results of communication on social media, it led to many reactions and posts. Describe the data driven strategy (30% of vote) The chosen strategy was targeted at politically active people interested in obtaining true information. They actively use social networks and live in metropolitan cities. There’s no use in trying to impose an opinion on them, as they are intolerant towards direct advertising. They are used to making choices, comparing and experimenting on their own. That’s why they were offered to participate in an experiment that would show how a worldview is formed depending on the information environment. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked. Describe the creative use of data, or how the data enhanced the creative output (30% of vote) A mix of innovative technologies (Google Speech-to-Text, Trained Neural Network, Question Answering Model (Q&A), ODQA, Word Embeddings) helped AIs absorb terabits of information. After 6 months, they could answer any questions. But only using the knowledge and vocabulary of the programs they had watched. Using the website interface, everybody can ask a question to the AIs and get answers from them or read related answers. Also, one can vote for the system he/she likes more. List the data driven results (20% of vote) The story rocketed around the Internet and media. In one week 14 048 080 media impressions 193 427 visitors 93% voters favored TV Rain's AI
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