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=-thumbnail&page=3
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/?format=api&ordering=-thumbnail&page=4",
    "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?format=api&ordering=-thumbnail&page=2",
    "results": [
        {
            "id": 2455,
            "content_url": "https://www.duniacom.com/press-release",
            "is_bookmarked": false,
            "tags": [
                "common voice",
                "voice",
                "voice recognition"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 1,
            "related_creators": [
                {
                    "name": "Duniacom Group, LLC",
                    "profile_id": 6091,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Kiswahili Text and Voice Recognition Platform (KTVRP)",
            "description": "A majority of smallholder farmers in Tanzania are only able to communicate through the Kiswahili and its dialects. A text and voice-based platform made available in the language of the underserved (i.e., Kiswahili) would be key to wide access, adoption, and usage of digital agricultural advisory and financial services in Tanzania. The objective is to develop a text and voice recognition platform that will offer smallholder farmers in the Tanzanian Maize Value Chain personalized digital financial and non-financial automated services based on location, agro-ecological zones, and crop cycle.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_132927.7867260000.jpg",
            "created": "2022-11-18T13:29:27.786508Z",
            "moderation_state": 3
        },
        {
            "id": 2453,
            "content_url": "https://foundation.mozilla.org/en/what-we-fund/awards/common-voice-kiswahili-awards/",
            "is_bookmarked": false,
            "tags": [
                "accessibility",
                "chatbot",
                "common voice"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [
                "Promote",
                "Test & feedback"
            ],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Strathmore University",
                    "profile_id": 6089,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Imarika",
            "description": "Imarika is a conversational chatbot offering digital climate advisory services in English and Swahili that will support smallholder farmers to adapt to changing weather patterns. The project aims to address the vulnerability of farmers to weather unpredictability due to the lack of accessible, reliable, and localized weather forecasts. Access to weather information is highly variable across sub-Saharan Africa and is usually limited to low-accuracy national or regional forecasts broadcast on radio and/or TV.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_125715.2256250000.jpg",
            "created": "2022-11-18T12:57:15.225233Z",
            "moderation_state": 3
        },
        {
            "id": 2452,
            "content_url": "https://badili.co.ke/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "common voice",
                "machine learning",
                "natural language processing"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Badili Innovations",
                    "profile_id": 6088,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "LivHealth Kiswahili Corpus",
            "description": "LivHealth Kiswahili Corpus aims to empower local communities to correctly identify livestock syndromes and get timely interventions from qualified livestock practitioners. Using Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI), the project will build Kiswahili text-to-speech models for disseminating disease information to marginalized communities. Working closely with their partner, One Health Center in Africa (OHRECA), they will enhance the functionality of the system to enable communities easy access to disease information on demand and in Kiswahili.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_124442.1615610000.jpg",
            "created": "2022-11-18T12:44:42.161103Z",
            "moderation_state": 3
        },
        {
            "id": 2451,
            "content_url": "https://www.westminster.ac.uk/news/university-of-westminster-contributes-to-east-african-voice-technology-project-funded-by-mozilla",
            "is_bookmarked": false,
            "tags": [
                "chatbot",
                "common voice",
                "voice"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "University of Westminster",
                    "profile_id": 6084,
                    "is_active": false
                },
                {
                    "name": "Moi University",
                    "profile_id": 6085,
                    "is_active": false
                },
                {
                    "name": "Western Michigan University",
                    "profile_id": 6086,
                    "is_active": false
                },
                {
                    "name": "Technical University of Kenya",
                    "profile_id": 6087,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Wezesha na Kabambe",
            "description": "A mobile enabled Swahili audio chatbot not reliant on internet connectivity. It is developed in collaboration with rural small-holder women farmers in Kenya as an alternative source for agricultural information. Using the Mozilla Swahili data sets, the mobile-enabled chatbot can be used on both feature phones (kabambes) and smartphones by rural smallholder farmers. The interactive Swahili chatbot is powered by a database of frequently asked questions from smallholder women farmers, a marginalized and digitally excluded group.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_124043.6314550000.jpg",
            "created": "2022-11-18T12:40:43.631137Z",
            "moderation_state": 3
        },
        {
            "id": 2450,
            "content_url": "https://foundation.mozilla.org/en/blog/talk-swahili-to-me-voice-enabled-apps-changing-the-game-for-farmers-and-local-communities/",
            "is_bookmarked": false,
            "tags": [
                "common voice",
                "data",
                "voice"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Sustain Earth's Environment Africa",
                    "profile_id": 6083,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Kiazi Bora",
            "description": "Kiazi Bora, “Quality Potatoes’’ in Swahili, uses a voice enabled application that informs vulnerable women living in rural areas and marginalized communities of Tanzania on the nutritional values of Orange Fleshed Sweet Potatoes (OFSP), farming skills for better yields, and detailed market availability for raw or processed OFSP food products, all through a voice data set app.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-17_154539.8731700000.jpg",
            "created": "2022-11-17T15:45:39.872803Z",
            "moderation_state": 3
        },
        {
            "id": 2449,
            "content_url": "https://www.chamachat.com/",
            "is_bookmarked": false,
            "tags": [
                "common voice",
                "kiswahili",
                "voice"
            ],
            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [
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                "Test & feedback"
            ],
            "published_by": "Shandukani Mulaudzi",
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            "related_creators": [
                {
                    "name": "Ujuzi Craft LTD",
                    "profile_id": 6082,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "ChamaChat",
            "description": "A Chama management system with a chatbot that interacts with members and gives voice replies in Kiswahili via SMS and Whatsapp. It connects to the group Payment API, ie M-Pesa API. Members can interact with the Chama admin bot on a variety of functions, including instance check balance, loan requests and receiving transaction statements.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-17_153959.6221360000.jpg",
            "created": "2022-11-17T15:39:59.621879Z",
            "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",
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                {
                    "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,
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            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_155813.3150780000.jpg",
            "created": "2022-10-26T12:46:30.918199Z",
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        },
        {
            "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": [],
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                {
                    "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,
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            "created": "2022-11-08T14:32:42.469114Z",
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        {
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            "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",
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                "surveillance"
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            "issues": [
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                {
                    "name": "Alton Glass",
                    "profile_id": 6070,
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            ],
            "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",
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            "created": "2022-11-08T14:19:55.502753Z",
            "moderation_state": 3
        },
        {
            "id": 2446,
            "content_url": "https://binarycalculationsareinadequate.org/",
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            "tags": [
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                "algorithms",
                "bipoc",
                "cma2021",
                "data",
                "datasets",
                "interactive",
                "mozilla-cma"
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            "issues": [],
            "help_types": [],
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                {
                    "name": "Stephanie Dinkins",
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            ],
            "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,
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            "created": "2022-11-08T13:55:48.599953Z",
            "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": [],
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                {
                    "name": "Johann Diedrick",
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            ],
            "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": "",
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            "interest": "",
            "featured": false,
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            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-08_132441.5904810000.png",
            "created": "2022-11-08T13:24:41.590244Z",
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        },
        {
            "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",
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                {
                    "name": "Tracey Bowen",
                    "profile_id": 6067,
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                }
            ],
            "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/",
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            "featured": false,
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            "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
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        {
            "id": 2443,
            "content_url": "https://www.afroalgorithms.com/",
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            "tags": [
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                "AI",
                "AI bias",
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            "help_types": [],
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                {
                    "name": "Anatola Araba",
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            ],
            "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/",
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            "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": 2442,
            "content_url": "https://www.futurewake.com/#/",
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            "tags": [
                "AI",
                "algorithmic racism",
                "artificial intelligence",
                "cma",
                "cma2021",
                "mozilla-cma",
                "predictive policing"
            ],
            "issues": [
                "Privacy & Security",
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Future Wake",
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            ],
            "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/#/",
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            "featured": false,
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            "created": "2022-11-08T12:39:49.250559Z",
            "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",
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            "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,
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            "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": 2440,
            "content_url": "https://moondisaster.org/",
            "is_bookmarked": false,
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