Entries List
A view that permits a GET to allow listing all the entries
in the database
**Route** - `/entries`
#Query Parameters -
- `?search=` - Search by title, description, get_involved, interest,
creator, and tag.
- `?ids=` - Filter only for entries with specific ids. Argument
must be a comma-separated list of integer ids.
- `?tag=` - Allows filtering entries by a specific tag
- `?issue=` - Allows filtering entries by a specific issue
- `?help_type=` - Allows filtering entries by a specific help type
- `?has_help_types=<True or False>` - Filter entries by whether they have
help types or not. Note that `True`
or `False` is case-sensitive.
- `?featured=True` (or False) - both capitalied. Boolean is set in admin UI
- `?page=` - Page number, defaults to 1
- `?page_size=` - Number of results on a page. Defaults to 48
- `?ordering=` - Property you'd like to order the results by. Prepend with
`-` to reverse. e.g. `?ordering=-title`
- `?moderationstate=` - Filter results to only show the indicated moderation
state, by name. This will only filter if the calling
user has moderation permissions.
GET /api/pulse/v2/entries/?format=api&ordering=published_by__profile&page=36
{ "count": 1761, "next": "https://api.mozillapulse.org/api/pulse/v2/entries/?format=api&ordering=published_by__profile&page=37", "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?format=api&ordering=published_by__profile&page=35", "results": [ { "id": 2436, "content_url": "https://chooseyourownfakenews.com/", "is_bookmarked": false, "tags": [ "AI", "artificial intelligence", "cma", "cma2019", "game", "misinformation", "mozilla-cma", "simulations" ], "issues": [ "Web Literacy" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 1, "related_creators": [ { "name": "Pollicy", "profile_id": 6055, "is_active": false } ], "entry_type": "base", "title": "Choose Your Own Fake News", "description": "This project uses comics and audio to explore how misinformation spreads across the African continent. Users engage in a choose-your-own-adventure game that simulates how retweets, comments, and other digital actions can sow misinformation, and how that misinformation intersects with gender, religion, and ethnicity.", "get_involved": "", "get_involved_url": "https://chooseyourownfakenews.com/", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-04_122445.7082420000.png", "created": "2022-11-04T12:24:45.708021Z", "moderation_state": 3 }, { "id": 2480, "content_url": "https://umbc.edu/", "is_bookmarked": false, "tags": [ "RCSC", "Responsible Computer Science Challenge" ], "issues": [ "Web Literacy" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "University of Maryland, Baltimore County", "profile_id": 6118, "is_active": false } ], "entry_type": "base", "title": "University of Maryland, Baltimore County", "description": "This initiative uses three avenues to integrate ethics into the computer science curriculum: peer discussions on how technologies might affect different populations; negative implications evaluations, i.e. “red teams” that probe the potential negative societal impacts of students’ projects; and a training program to equip teaching assistants with ethics and equality literacy.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_114457.6835670000.png", "created": "2022-11-21T11:44:57.683266Z", "moderation_state": 3 }, { "id": 2481, "content_url": "https://www.utah.edu/", "is_bookmarked": false, "tags": [ "RCSC", "Responsible Computer Science Challenge" ], "issues": [ "Web Literacy" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "University of Utah", "profile_id": 6119, "is_active": false } ], "entry_type": "base", "title": "University of Utah", "description": "Computer science students will be encouraged to apply problem solving and critical thinking not just to design algorithms, but also the social issues that their algorithms intersect with. For example: When studying bitcoin mining algorithms, students will focus on energy usage and environmental impact. The curriculum will be developed with the help of domain experts who have expertise in sustainability, surveillance, criminal justice, and other issue areas.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_114803.3917580000.png", "created": "2022-11-21T11:48:03.391546Z", "moderation_state": 3 }, { "id": 2461, "content_url": "https://algowritten.org/", "is_bookmarked": false, "tags": [ "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Digital Inclusion" ], "help_types": [ "Promote", "Test & feedback" ], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 1, "related_creators": [ { "name": "Naromass", "profile_id": 6099, "is_active": false } ], "entry_type": "base", "title": "Algowritten", "description": "Algowritten is a project that is aimed at addressing AI bias in creative content. This project is by Naromass, an organization that seeks to change the current ways in which “inequality is systematized through algorithmic processes” in cultural and political spaces. With Algowritten, Naromass hopes to identify bias in written texts. The first type of bias to be examined will be sexism. A person will be able to sign up to Algowritten, run text through the program and it will give an analysis on how the text could be harmful and sexist.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_091754.8492320000.png", "created": "2022-11-21T09:17:54.848955Z", "moderation_state": 3 }, { "id": 2482, "content_url": "https://wustl.edu/", "is_bookmarked": false, "tags": [ "RCSC", "Responsible Computer Science Challenge" ], "issues": [ "Web Literacy" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [], "entry_type": "base", "title": "Washington University", "description": "Computer science students will participate in “studio sessions,” or group discussions that unpack how their technical education and skills intersect with issues like individual privacy, data security, and biased algorithms.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_115046.0144540000.jpg", "created": "2022-11-21T11:50:46.014226Z", "moderation_state": 3 }, { "id": 2527, "content_url": "https://rewardreports.github.io/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [ "Test & feedback" ], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Graduates for Engaged and Extended Scholarship in Computer Science and Engineering (GEESE)", "profile_id": 6330, "is_active": false } ], "entry_type": "base", "title": "Reward Reports", "description": "Current AI documentation tools are able to account for model outputs, but not for outcomes generated by the system itself over time. For the past year, the team at the Graduates for Engaged and Extended Scholarship in Computer Science and Engineering (GEESE) have developed Reward Reports to address this gap. Reward Reports is an audit tool for comparing a system’s observed behaviors with the assumptions and expectations of its designers.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_100228.2005790000.png", "created": "2023-05-10T10:02:28.200255Z", "moderation_state": 3 }, { "id": 2528, "content_url": "https://incidentdatabase.ai/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Responsible AI Collaborative", "profile_id": 6331, "is_active": false } ], "entry_type": "base", "title": "AI Risk Checklists", "description": "A common approach across all risk audit processes is risk identification. Once risks are identified, auditors determine their probability and impacts. While several firms dedicated to the audit of AI have built their own risk check listing artifacts, commercial checklists are considered proprietary and confidential. In short, there is an incipient closing of the core processes and technologies backing AI audits. Their plan to enable open-source AI risk check listing is to build on top of the code, data, and metadata of their collaborative open-source project the AI Incident Database.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_100652.8987480000.jpg", "created": "2023-05-10T10:06:52.898515Z", "moderation_state": 3 }, { "id": 2529, "content_url": "https://github.com/EleutherAI/lm-evaluation-harness", "is_bookmarked": false, "tags": [ "audit tools", "mozilla", "mozilla technology fund", "mtf" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Big Science", "profile_id": 6332, "is_active": false } ], "entry_type": "base", "title": "Evaluation Harness", "description": "Evaluation Harness is an open-source tool for the evaluation of large language models. The framework defines a flexible API for both model and evaluation implementation and handles all of the work to orchestrate evaluations internally. Historically, the team has used prior datasets and proposed prompts for 0-shot and few-shot evaluation of language models. Their current project focus is to provide additional datasets with human judgments for summarization in multiple languages, to allow richer evaluation of multilingual language models.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_101028.2720700000.jpg", "created": "2023-05-10T10:10:28.271829Z", "moderation_state": 3 }, { "id": 2530, "content_url": "https://crossover.social/", "is_bookmarked": false, "tags": [ "#", "audit tools", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Check First", "profile_id": 6333, "is_active": false } ], "entry_type": "base", "title": "CrossOver", "description": "CrossOver simulates social media and big platform users to collect data about recommended content and then compares it to data provided by the platform's own APIs when available. Its monitoring devices are hosted by volunteers at residential addresses. Monitored websites are Twitter, YouTube, Facebook pages and groups, Google search predictions, Google News, Reddit, Odysee, and Mastodon. Building on top of their pilot project in Belgium, they will add 14 monitoring devices to seven French-speaking countries around the world.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_101808.3105630000.png", "created": "2023-05-10T10:18:08.310319Z", "moderation_state": 3 }, { "id": 2531, "content_url": "https://docs.tracking.exposed/guardoni/guardoni-intro/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Algorithms Exposed", "profile_id": 6334, "is_active": false } ], "entry_type": "base", "title": "AI Forensics", "description": "AI Forensics is building a free-software toolkit to make investigations on TikTok and YouTube's recommendation engine accessible to a wider and more diverse community of researchers. The team has been pioneering methodologies to investigate social media recommender systems for more than seven years. They have developed various tools to support this research. The goal of this project is to make these tools more accessible, in order to increase the audit capacity of the research community, and hold platforms more accountable to their users and to the law.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_103039.5722810000.jpg", "created": "2023-05-10T10:30:39.572083Z", "moderation_state": 3 }, { "id": 2532, "content_url": "https://gigbox.media.mit.edu/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "The Workers’ Algorithm Observatory (WAO)", "profile_id": 6335, "is_active": false } ], "entry_type": "base", "title": "Gigbox", "description": "The Workers’ Algorithm Observatory (WAO) is a crowdsourced auditing collaboration for investigating black-box systems in the platform economy. Investigations of platform economy algorithms, such as those used by Uber and DoorDash, face major challenges in accessing the data necessary for a meaningful audit. To solve this, the team behind WAO is developing an algorithm observatory for workers and allies to audit the black-box algorithms behind platforms through crowdsourced data collection among peers.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_103241.8078300000.png", "created": "2023-05-10T10:32:41.807623Z", "moderation_state": 3 }, { "id": 2534, "content_url": "https://wonyoung.so/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla", "mozilla-mtf", "mozilla technology fund" ], "issues": [], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Wonyoung So", "profile_id": 6337, "is_active": false } ], "entry_type": "base", "title": "Countering Tenant Screening", "description": "Countering Tenant Screening Using Tenant Screening Data aims to develop a crowdsourcing tool and/or campaign to audit tenant screening services used by property owners. It seeks to reveal the patterns of the inner algorithms, data structures, and representations, by collecting tenant screening reports as well as denied renters’ experiences.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_103619.0422370000.jpg", "created": "2023-05-10T10:36:19.041970Z", "moderation_state": 3 }, { "id": 2535, "content_url": "https://www.datakind.org/", "is_bookmarked": false, "tags": [ "accessibility", "data", "data futures lab", "data science" ], "issues": [ "Digital Inclusion" ], "help_types": [ "Join community" ], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Black Wealth Data Center", "profile_id": 6339, "is_active": false }, { "name": "DataKind", "profile_id": 6340, "is_active": false } ], "entry_type": "base", "title": "DataKind", "description": "DataKind is a global nonprofit headquartered in the U.S. that seeks to leverage data science for the greater good. Working in collaboration with the Black Wealth Data Center, DataKind will create an interactive data tool to help community leaders, policymakers, and access providers understand broadband inequalities in the U.S. Leveraging existing but dispersed data and a network of collaborators, DataKind aspires to shine a light on where “digital deserts” exist, and how different communities are impacted by them.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-16_080825.3341470000.jpg", "created": "2023-05-16T08:08:25.333798Z", "moderation_state": 3 }, { "id": 2536, "content_url": "https://ooni.org/", "is_bookmarked": false, "tags": [ "censorship", "data", "data futures lab", "open source" ], "issues": [ "Decentralization", "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Open Observatory of Network Interference", "profile_id": 6341, "is_active": false } ], "entry_type": "base", "title": "Open Observatory of Network Interference (OONI)", "description": "OONI is a global free software project measuring internet censorship around the world. Since 2012, OONI has openly published more than a billion network measurements from 241 countries and territories, thereby hosting one the largest open datasets on internet censorship to date. They will develop a new version of OONI Run, a tool that allows coordinated testing of website blocking using OONI's existing infrastructure and contributing to its dataset. They seek to deploy this tool in the field through their established partnerships with 41 digital rights organizations around the world.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-16_081703.5505250000.png", "created": "2023-05-16T08:17:03.550315Z", "moderation_state": 3 }, { "id": 2537, "content_url": "https://posmo.coop/", "is_bookmarked": false, "tags": [ "data", "data futures lab", "data governance", "data stewardship" ], "issues": [ "Decentralization", "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "POSMO", "profile_id": 6342, "is_active": false } ], "entry_type": "base", "title": "POSMO", "description": "Posmo is a data cooperative based in Zurich, Switzerland working on ethical ways of collecting and creating value from mobility data. Posmo will continue to develop the Posmo Data Market, a trustworthy data space offering detailed personal mobility and socioeconomic data to third parties while providing data subjects with control over the use of their data. This year, among other milestones, Posmo will continue to develop its data governance processes, define a set of criteria for sharing mobility data with third parties, and build the internal approval process through the ethics committee.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-16_092510.3997720000.png", "created": "2023-05-16T09:25:10.399300Z", "moderation_state": 3 }, { "id": 2538, "content_url": "https://tattle.co.in/", "is_bookmarked": false, "tags": [ "data", "data futures lab", "data stewardship" ], "issues": [ "Digital Inclusion" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Tattle", "profile_id": 6343, "is_active": false } ], "entry_type": "base", "title": "Tattle", "description": "Tattle is a civic technology company working for a healthier online information ecosystem in India. They will continue to develop Uli, their browser plugin that gives social media users tools for a collective response to online gender-based violence, and seek to include new crowdsourcing tools for annotation and reporting.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-16_092752.2949590000.png", "created": "2023-05-16T09:27:52.294736Z", "moderation_state": 3 }, { "id": 2539, "content_url": "https://www.tidepool.org/", "is_bookmarked": false, "tags": [ "big data", "data", "data donation", "data futures lab", "data stewardship" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Tidepool", "profile_id": 6344, "is_active": false } ], "entry_type": "base", "title": "Tidepool", "description": "Tidepool is a nonprofit organization based in San Francisco, California, developing technology to provide intuitive software products that help people with diabetes. Tidepool will continue to grow its Big Data Donation Project, which enables people to donate data from their diabetes devices to help fuel the next generation of diabetes research. During this year, they will develop a blanket real-world evidence protocol to expand the potential impact of the donated data. They will also conduct interviews to develop a report to help measure and share the impact of the data sets donated to date.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-16_093635.6820400000.jpg", "created": "2023-05-16T09:36:35.681857Z", "moderation_state": 3 }, { "id": 2479, "content_url": "https://www.colorado.edu/", "is_bookmarked": false, "tags": [ "RCSC", "Responsible Computer Science Challenge" ], "issues": [ "Web Literacy" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "University of Colorado, Boulder", "profile_id": 6117, "is_active": false } ], "entry_type": "base", "title": "University of Colorado, Boulder", "description": "This initiative integrates an ethics component into introductory programming classes, and features an “ethics fellows program” that embeds students with an interest in ethics into upper division computer science and technical classes.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_114249.4949960000.png", "created": "2022-11-21T11:42:49.494760Z", "moderation_state": 3 }, { "id": 2533, "content_url": "https://zenoml.com/", "is_bookmarked": false, "tags": [ "audit tools", "mozilla", "mozilla-mtf", "mozilla technology fund" ], "issues": [ "Openness" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Carnegie Mellon University", "profile_id": 6336, "is_active": false } ], "entry_type": "base", "title": "Zeno", "description": "Zeno is a framework for evaluating and auditing AI models. It combines an extensible Python API with an interactive UI to empower anyone to explore how complex AI systems behave.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_103444.2541750000.png", "created": "2023-05-10T10:34:44.253957Z", "moderation_state": 3 }, { "id": 2434, "content_url": "https://stealingurfeelin.gs/", "is_bookmarked": false, "tags": [ "mozilla-cma" ], "issues": [ "Web Literacy", "Privacy & Security" ], "help_types": [ "Promote", "Test & feedback", "Watch session" ], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Noah Levenson", "profile_id": 6053, "is_active": false } ], "entry_type": "base", "title": "Stealing Ur Feelings", "description": "Stealing Ur Feelings is an interactive film that reveals how social networks and apps use your face to secretly collect data about your emotions. The documentary will explore how emotion recognition AI determines if you’re happy or sad — and how companies use that information to influence your behavior.", "get_involved": "", "get_involved_url": "https://stealingurfeelin.gs/", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-04_113108.0214540000.png", "created": "2022-11-04T11:31:08.021039Z", "moderation_state": 3 }, { "id": 2439, "content_url": "https://www.deepreckonings.com/", "is_bookmarked": false, "tags": [ "AI", "algorithms", "cma", "cma2019", "creative media awards", "mozilla-cma" ], "issues": [ "Web Literacy", "Privacy & Security" ], "help_types": [], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Stephanie Lepp", "profile_id": 6058, "is_active": false } ], "entry_type": "base", "title": "Deep Reckonings", "description": "This project uses deepfakes to address the issue of deepfakes. Three false videos will show public figures — like tech executives — reckoning with the dangers of synthetic media. Each video will be clearly watermarked and labeled as a deepfake to prevent misinformation.", "get_involved": "", "get_involved_url": "", "interest": "", "featured": false, "published_by_creator": false, "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_094546.2259840000.png", "created": "2022-11-08T09:45:46.225693Z", "moderation_state": 3 }, { "id": 2440, "content_url": "https://moondisaster.org/", "is_bookmarked": false, "tags": [ "AI", "artificial intelligence", "cma", "cma2019", "creative media awards", "deepfake", "disinformation", "fake news", "mozilla-cma" ], "issues": [ "Web Literacy", "Privacy & Security" ], "help_types": [ "Promote", "Test & feedback", "Watch session" ], "published_by": "Shandukani Mulaudzi", "submitter_profile_id": 5750, "bookmark_count": 0, "related_creators": [ { "name": "Halsey Burgund", "profile_id": 6059, "is_active": false }, { "name": "Francesca Panetta", "profile_id": 6060, "is_active": false }, { "name": "Magnus Bjerg Mortensen", "profile_id": 6061, "is_active": false }, { "name": "Jeff DelViscio", "profile_id": 6062, "is_active": false }, { "name": "MIT Center for Advanced Virtuality", "profile_id": 6063, "is_active": false } ], "entry_type": "base", "title": "In Event of Moon Disaster", "description": "This project uses the 1969 moon landing to explore the topic of modern misinformation. Real coverage of the landing will be presented on a website alongside deepfakes and other false content, to highlight the difficulty of telling the two apart. 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