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&page=2
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&page=3",
    "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?format=api",
    "results": [
        {
            "id": 2465,
            "content_url": "https://www.faireva.org/",
            "is_bookmarked": false,
            "tags": [
                "mozilla-mtf",
                "mozilla technology fund",
                "voice recognition",
                "voice technology"
            ],
            "issues": [],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 1,
            "related_creators": [
                {
                    "name": "Fair EVA",
                    "profile_id": 6104,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "SVEva Fair",
            "description": "Fair EVA’s mission is to ensure that voice technologies work reliably for all users. As part of that mission, the organization is building a tool called SVEva Fair intended to be “an audit tool, dataset and knowledge base to evaluate bias in voice biometrics”. SVEva Fair will be an open source library and dataset that developers can use to test for bias in their speaker verification models.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_103958.1920660000.png",
            "created": "2022-11-21T10:39:58.191718Z",
            "moderation_state": 3
        },
        {
            "id": 2464,
            "content_url": "https://www.their.tube/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithms",
                "mozilla-mtf",
                "mozilla technology fund"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [],
            "entry_type": "base",
            "title": "TheirTube",
            "description": "The mission of TheirTube is to check how the recommendation AI on YouTube can affect a user’s experience on the platform and potentially, their worldview. Through TheirTube, users are able to look at how different personas experience YouTube based on their different interests and preferences. TheirTube’s personas are based on real recommendations made to users by YouTube’s recommendation engine, which TheirTube collects using automation.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_103435.1666890000.png",
            "created": "2022-11-21T10:34:35.166459Z",
            "moderation_state": 3
        },
        {
            "id": 2463,
            "content_url": "https://foundation.mozilla.org/en/blog/new-tool-makhno-will-expose-geographic-social-media-censorship/",
            "is_bookmarked": false,
            "tags": [
                "mozilla-mtf",
                "mozilla technology fund",
                "shadow banning"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Hermes Center",
                    "profile_id": 6101,
                    "is_active": false
                },
                {
                    "name": "Tracking.Exposed",
                    "profile_id": 6102,
                    "is_active": false
                },
                {
                    "name": "Open Observatory of Network Interference (OONI)",
                    "profile_id": 6103,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Makhno",
            "description": "Makhno is a joint effort between the Hermes Center, Open Observatory of Network Interference (OONI) and Tracking.Exposed. The tool is intended to allow users to input content they believe could be at risk of being taken down. By coming together to build this tool, the organizations are able to pool resources to monitor what content is being removed from social media platforms.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_102804.5611650000.jpg",
            "created": "2022-11-21T10:28:04.560821Z",
            "moderation_state": 3
        },
        {
            "id": 2462,
            "content_url": "https://tiktok.tracking.exposed/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithmic bias",
                "algorithms",
                "censorship",
                "mozilla-mtf",
                "mozilla technology fund"
            ],
            "issues": [
                "Privacy & Security",
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Tracking.Exposed",
                    "profile_id": 6100,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "TikTok Observatory",
            "description": "TikTok Observatory is a crowdsourcing platform aimed at uncovering political censorship on TikTok. The social media network has, in the past, censored political speech. The TikTok observatory will serve as a free software where people can report topics, videos or hashtags they suspect are being “shadow-banned”. The toolsuite will also be able to systematically test if a topic is being censored by the algorithm. This project furthers the work of Tracking.Exposed who aim to use free software to investigate big social media platforms and to provide “recommendations optimized for users by users”.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_095842.7366910000.png",
            "created": "2022-11-21T09:58:42.736320Z",
            "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,
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            "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": 2460,
            "content_url": "https://www.digital-democracy.org/mapeo/",
            "is_bookmarked": false,
            "tags": [
                "data",
                "data futures lab",
                "Human Rights",
                "mapping",
                "peer-to-peer"
            ],
            "issues": [
                "Decentralization"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 2,
            "related_creators": [
                {
                    "name": "Digital Democracy",
                    "profile_id": 6096,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Mapeo",
            "description": "Digital Democracy works with local communities and individuals around the world to collect and share evidence of human and environmental rights abuses through an app called Mapeo. Because the app is decentralized and internet-independent, peer-to-peer synchronization has often been a bug-bear for users. Through this award, they plan to improve on the UX features of the database and to develop new models for managing access to the data. This app seeks to empower frontline defenders and marginalized communities globally.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
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            "created": "2022-11-18T14:12:50.092567Z",
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        },
        {
            "id": 2459,
            "content_url": "https://drivers.coop/",
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            "tags": [
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            ],
            "issues": [
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                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
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                    "name": "The Drivers Cooperative",
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                }
            ],
            "entry_type": "base",
            "title": "Driver's Co-op",
            "description": "Driver’s Co-op is a cooperatively owned rideshare app, based in New York City. With over 5,000 drivers and 40,000 riders already using the app, this co-op is working to revolutionize the rideshare industry through worker ownership. With the hope to launch an open-source app that allows drivers to create their own platforms around the world, Drivers Co-op is looking to really transform the rideshare space and to provide alternatives to the more mainstream platforms.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_140618.5633220000.png",
            "created": "2022-11-18T14:06:18.562934Z",
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        },
        {
            "id": 2458,
            "content_url": "https://driversseat.co/",
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            "tags": [
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                "data futures lab",
                "transparency"
            ],
            "issues": [
                "Privacy & Security",
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Driver’s Seat Cooperative",
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                }
            ],
            "entry_type": "base",
            "title": "Driver's Seat",
            "description": "Driver’s Seat is a cooperative owned by rideshare and delivery drivers trying to “level the playing field in the gig economy”. With drivers themselves at the forefront of the organisation, the mobile app and website they use collects data and shares insights that will allow them to make more money and have more control over their work. Their mission is to transform the gig economy through shared data ownership.",
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            "interest": "",
            "featured": false,
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            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_140035.7755830000.png",
            "created": "2022-11-18T14:00:35.775267Z",
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        },
        {
            "id": 2457,
            "content_url": "https://www.thisisplace.org/",
            "is_bookmarked": false,
            "tags": [
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                "data futures lab",
                "mapping"
            ],
            "issues": [
                "Digital Inclusion",
                "Decentralization"
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            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "PLACE",
                    "profile_id": 6093,
                    "is_active": false
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            ],
            "entry_type": "base",
            "title": "PLACE",
            "description": "Place Trust is a non-profit organization on a mission to map the urban world in “ultra-high resolution and make these maps open, reliable and accessible and place them in a perpetual legal trust in the public interest”. Currently, all value in mapping data is in the hands of large tech companies. PLACE provides an opportunity for large data sets to be pooled from mapping datasets produced by local governments and organizations.",
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            "created": "2022-11-18T13:47:48.051861Z",
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            "content_url": "https://core23lab.org/",
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            "tags": [
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                "voice",
                "voice technology"
            ],
            "issues": [
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                "Openness"
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            "entry_type": "base",
            "title": "Haki des femmes",
            "description": "Haki will leverage voice technology to provide access to legal information and support for women in Katanga and Lualaba provinces of the Democratic Republic of Congo to ensure they have the right to access, use, inherit, control, and own land. Majority of women in DRC often lose their access to land after the passing of a loved one or husband due to lack of knowledge of land rights. This solution will help women to access information and legal support in securing their land rights in Kiswahili.",
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            "get_involved_url": "",
            "interest": "",
            "featured": false,
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            "created": "2022-11-18T13:33:52.195379Z",
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        },
        {
            "id": 2455,
            "content_url": "https://www.duniacom.com/press-release",
            "is_bookmarked": false,
            "tags": [
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                "voice",
                "voice recognition"
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            "issues": [
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                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Duniacom Group, LLC",
                    "profile_id": 6091,
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                }
            ],
            "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,
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            "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
        },
        {
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            "content_url": "http://think.ke/",
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            "tags": [
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                "voice"
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            "issues": [
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                "Openness"
            ],
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            "published_by": "Shandukani Mulaudzi",
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                    "name": "Tech Innovators Network Ltd",
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            ],
            "entry_type": "base",
            "title": "Paza Sauti",
            "description": "The project is developing a chatbot and an interactive voice response service that will provide voice-enabled services in the domain of business registration and raise awareness about the use of collateral (security) to access credit in Kenya. The main objective is to increase financial literacy around moveable properties as collateral, particularly for women in business, and in particular agriculture, for purposes of accessing credit. Most members of the population are still unaware of their capability to access further credit as a result of using moveable properties as collateral.",
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            "get_involved_url": "",
            "interest": "",
            "featured": false,
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            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_162418.0950770000.jpg",
            "created": "2022-11-18T13:11:19.985428Z",
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        {
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            "content_url": "https://foundation.mozilla.org/en/what-we-fund/awards/common-voice-kiswahili-awards/",
            "is_bookmarked": false,
            "tags": [
                "accessibility",
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                "common voice"
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            "issues": [
                "Digital Inclusion",
                "Openness"
            ],
            "help_types": [
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            ],
            "published_by": "Shandukani Mulaudzi",
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            "related_creators": [
                {
                    "name": "Strathmore University",
                    "profile_id": 6089,
                    "is_active": false
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            ],
            "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.",
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            "created": "2022-11-18T12:57:15.225233Z",
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        },
        {
            "id": 2452,
            "content_url": "https://badili.co.ke/",
            "is_bookmarked": false,
            "tags": [
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                "machine learning",
                "natural language processing"
            ],
            "issues": [
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            ],
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            "related_creators": [
                {
                    "name": "Badili Innovations",
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            ],
            "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.",
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            "featured": false,
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            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-18_124442.1615610000.jpg",
            "created": "2022-11-18T12:44:42.161103Z",
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        },
        {
            "id": 2451,
            "content_url": "https://www.westminster.ac.uk/news/university-of-westminster-contributes-to-east-african-voice-technology-project-funded-by-mozilla",
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            "tags": [
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            "issues": [
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                "Openness"
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            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "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.",
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            "get_involved_url": "",
            "interest": "",
            "featured": false,
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            "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": [
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                "Openness"
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            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Sustain Earth's Environment Africa",
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            ],
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