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/?ordering=entry_type&page=36
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 1758,
    "next": "https://api.mozillapulse.org/api/pulse/v2/entries/?ordering=entry_type&page=37",
    "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?ordering=entry_type&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": 2437,
            "content_url": "https://foundation.mozilla.org/en/blog/mozillas-responsible-computer-science-challenge-will-expand-to-kenya-and-india/",
            "is_bookmarked": false,
            "tags": [
                "RCSC"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Steven Azeka",
            "submitter_profile_id": 5951,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Steven Azeka",
                    "profile_id": 5951,
                    "is_active": true
                }
            ],
            "entry_type": "base",
            "title": "Mozilla’s Responsible Computer Science Challenge Will Expand to Kenya and India",
            "description": "Ambitious joint initiative with USAID will award $1.2 million to embed ethics in computer science curricula at institutions around the world. Expansion will build on four years of success at U.S. universities.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": true,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-07_195226.7073870000.jpg",
            "created": "2022-11-07T19:52:26.707116Z",
            "moderation_state": 3
        },
        {
            "id": 2438,
            "content_url": "https://foundation.mozilla.org/en/blog/mozillas-responsible-computer-science-challenge-opens-applications-in-kenya/",
            "is_bookmarked": false,
            "tags": [
                "RCSC"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Steven Azeka",
            "submitter_profile_id": 5951,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Steven Azeka",
                    "profile_id": 5951,
                    "is_active": true
                }
            ],
            "entry_type": "base",
            "title": "Mozilla’s Responsible Computer Science Challenge Opens Applications In Kenya",
            "description": "Mozilla and USAID are awarding 10 grants from a pool of $250 000 USD to innovation hubs and accredited institutions of higher education in Kenya that embed ethics into computer science programs and curricula.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": true,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-07_195504.5099180000.png",
            "created": "2022-11-07T19:55:04.509620Z",
            "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. And by tracking viewers’ attention, the project will reveal which content captivated viewers more.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_113014.8539260000.jpg",
            "created": "2022-11-08T11:30:14.853643Z",
            "moderation_state": 3
        },
        {
            "id": 2441,
            "content_url": "https://facework.app/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithmic bias",
                "bias",
                "cma",
                "cma2019",
                "creative media awards",
                "facial recognition",
                "mozilla-cma"
            ],
            "issues": [
                "Web Literacy",
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Kyle McDonald",
                    "profile_id": 6064,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Most FACE Ever [Facework]",
            "description": "This project teaches users about computer vision and facial analysis technology through playful challenges. Users will enable their webcam, engage with facial analysis, and try to “look” a certain way — say, “criminal,” or “white.” The game reveals how inaccurate and biased facial analysis can often be.",
            "get_involved": "",
            "get_involved_url": "https://facework.app/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_121249.9904940000.png",
            "created": "2022-11-08T12:12:49.990015Z",
            "moderation_state": 3
        },
        {
            "id": 2442,
            "content_url": "https://www.futurewake.com/#/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithmic racism",
                "artificial intelligence",
                "cma",
                "cma2021",
                "mozilla-cma",
                "predictive policing"
            ],
            "issues": [
                "Privacy & Security",
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Future Wake",
                    "profile_id": 6065,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Future Wake",
            "description": "This interactive web app turns the discriminatory practice of predictive policing upside down, instead allowing citizens to predict police brutality. The project uses AI and a number of data sets to determine where, when, and how police brutality in the U.S. is most likely to occur. It also paints a vivid picture of the potential victim, from their skin color to their age, to put a human face on the prediction.",
            "get_involved": "",
            "get_involved_url": "https://www.futurewake.com/#/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_123949.2507820000.png",
            "created": "2022-11-08T12:39:49.250559Z",
            "moderation_state": 3
        },
        {
            "id": 2443,
            "content_url": "https://www.afroalgorithms.com/",
            "is_bookmarked": false,
            "tags": [
                "afro-algorithms",
                "AI",
                "AI bias",
                "algorithmic bias",
                "algorithms",
                "bias",
                "cma",
                "cma2021",
                "creative media awards",
                "mozilla-cma"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 1,
            "related_creators": [
                {
                    "name": "Anatola Araba",
                    "profile_id": 6066,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Afro Algorithms",
            "description": "This 3D animated short film in the Afrofuturist genre explores the topics of AI and bias. In a distant future, an artificial intelligence named Aero is inaugurated as the world’s first AI ruler. But Aero soon learns that important worldviews are missing from her databank, including the experiences of the historically marginalized and oppressed. A slate of well-known Black artists lend their voices to the film, including Robin Quivers, Hoji Fortuna, and Ava Raiin.",
            "get_involved": "",
            "get_involved_url": "https://www.afroalgorithms.com/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_130305.5146410000.png",
            "created": "2022-11-08T13:03:05.514417Z",
            "moderation_state": 3
        },
        {
            "id": 2444,
            "content_url": "http://www.hopeimmersive.com/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "AI bias",
                "algorithmic bias",
                "algorithmic racism",
                "cma",
                "cma2021",
                "data",
                "discrimination",
                "mozilla-cma"
            ],
            "issues": [
                "Privacy & Security",
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Tracey Bowen",
                    "profile_id": 6067,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Hope",
            "description": "This collection of immersive journalism and Afrofuturism artwork imagines two possible futures: one where bias and discrimination has been banished from technology, and one where it runs rampant. Through the experience, viewers learn how AI and data sets are vulnerable to bias, but also learn about the real-world, Black-led initiatives underway to counteract this bias.",
            "get_involved": "",
            "get_involved_url": "http://www.hopeimmersive.com/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_131438.9114470000.png",
            "created": "2022-11-08T13:14:38.911207Z",
            "moderation_state": 3
        },
        {
            "id": 2445,
            "content_url": "https://darkmatters.ml/",
            "is_bookmarked": false,
            "tags": [
                "cma2021",
                "creative media awards",
                "data",
                "data voids",
                "interactive visualisation",
                "mozilla-cma",
                "speech"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Johann Diedrick",
                    "profile_id": 6068,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Dark Matters",
            "description": "This interactive web experience spotlights the absence of Black speech in datasets that train voice assistants like Siri, Google Home, and Alexa. The project also reveals the exclusion and code switching that results. Through a three-dimensional visualization of major speech datasets, viewers come into contact with vacuums of space representing these data voids. Intertwined are narratives attesting to the resilient and resistive qualities of Black speech, suggesting how we might create more equitable futures.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_132441.5904810000.png",
            "created": "2022-11-08T13:24:41.590244Z",
            "moderation_state": 3
        },
        {
            "id": 2446,
            "content_url": "https://binarycalculationsareinadequate.org/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithms",
                "bipoc",
                "cma2021",
                "data",
                "datasets",
                "interactive",
                "mozilla-cma"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Stephanie Dinkins",
                    "profile_id": 6069,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Binary Calculations Are Inadequate to Assess Us",
            "description": "This project seeks to provide more open, interactive, and compassionate alternatives to supplant the exclusionary algorithms and datasets that currently impact our everyday lives. It proposes a data commons approach where anyone can contribute to a training dataset, and anyone can then use that dataset to power AI. The project models this approach by creating an open, BIPOC-focused database that then uses AI to generate artwork.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_135548.6002770000.png",
            "created": "2022-11-08T13:55:48.599953Z",
            "moderation_state": 3
        },
        {
            "id": 2447,
            "content_url": "https://www.onassis.org/whats-on/festival-you-and-ai-through-the-algorithmic-lens/artworks/pov-points-of-view",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "artificial intelligence",
                "cma",
                "cma2021",
                "creative media awards",
                "mozilla-cma",
                "predictive policing",
                "surveillance"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Alton Glass",
                    "profile_id": 6070,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Points of View",
            "description": "In this 5-part mixed-reality series, the protagonist is Cassius Moore, a Black man living in a hyperrealistic future. Cassius is on parole after serving two years in prison for biometric hacking. But as he seeks to start a new life, he is mercilessly surveilled by a weaponized, AI-powered parole drone. Along the way, viewers learn about the very real threats of predictive policing, surveillance, and AI systems that replicate human biases.",
            "get_involved": "",
            "get_involved_url": "https://www.onassis.org/whats-on/festival-you-and-ai-through-the-algorithmic-lens/artworks/pov-points-of-view",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_141955.5030750000.jpg",
            "created": "2022-11-08T14:19:55.502753Z",
            "moderation_state": 3
        },
        {
            "id": 2448,
            "content_url": "https://carnival-ai.com/",
            "is_bookmarked": false,
            "tags": [
                "algorithms",
                "cma2021",
                "data",
                "digital gallery",
                "machine learning",
                "mozilla-cma"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Vernelle Noel",
                    "profile_id": 6071,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Black Arts + Culture: Generative Traditions with AI and Design in Carnival",
            "description": "This project uses AI to remix Black histories of design, art, and dance. Archival images of dancing sculptures from the Trinidad Carnival are mixed with each other and images of Black dancers across the diaspora (Caribbean, USA, etc.) in a single dataset. A machine learning model then generates new designs based on this data. The resulting art will be presented via an online gallery and discussions.",
            "get_involved": "",
            "get_involved_url": "https://carnival-ai.com/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_143242.4693290000.jpg",
            "created": "2022-11-08T14:32:42.469114Z",
            "moderation_state": 3
        },
        {
            "id": 2431,
            "content_url": "https://www.melalogic.com/",
            "is_bookmarked": false,
            "tags": [
                "mozilla-cma"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [
                "Promote",
                "Test & feedback"
            ],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Melalogic",
                    "profile_id": 6038,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Melalogic",
            "description": "Melalogic is an app that gives Black People a single source of skin health information from trusted professionals who look like them. Participating users can help to build the Black Skin Health AI Data Set which will provide them with the ability to submit a photo of a skin issue they may have and receive instantaneous feedback as to what it could be, and suggestions on how they should treat it. This new public dataset will be able to fuel AI-powered dermatology research and prediagnoses.",
            "get_involved": "",
            "get_involved_url": "https://www.melalogic.com/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_155813.3150780000.jpg",
            "created": "2022-10-26T12:46:30.918199Z",
            "moderation_state": 3
        },
        {
            "id": 2432,
            "content_url": "https://www.foreignobjects.net/bot-or-not",
            "is_bookmarked": false,
            "tags": [
                "mozilla-cma"
            ],
            "issues": [
                "Privacy & Security",
                "Openness"
            ],
            "help_types": [
                "Promote",
                "Test & feedback"
            ],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Foreign Objects",
                    "profile_id": 6040,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Truth-or-Dare Turing Test (Bot or Not)",
            "description": "This project explores deceptive AI that mimic real humans. Users play truth-or-dare with another entity, and at the conclusion of the game, must guess if they were playing with a fellow human or an AI. (“Truths” are played out using text, and “dares” are played out using an online sketchpad.) The project also includes a website outlining the state of mimicry technology, its uses, and its dangers.",
            "get_involved": "",
            "get_involved_url": "https://about.botor.no/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-10-27_161926.5392240000.png",
            "created": "2022-10-27T16:19:26.538822Z",
            "moderation_state": 3
        },
        {
            "id": 2433,
            "content_url": "https://www.their.tube/",
            "is_bookmarked": false,
            "tags": [
                "mozilla-cma"
            ],
            "issues": [],
            "help_types": [
                "Promote",
                "Test & feedback",
                "Join community"
            ],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Tomo Kihara",
                    "profile_id": 6044,
                    "is_active": false
                }
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