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=-id&page=3
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 1836,
    "next": "https://api.mozillapulse.org/api/pulse/v2/entries/?ordering=-id&page=4",
    "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?ordering=-id&page=2",
    "results": [
        {
            "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": 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": 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": 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": 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": 2526,
            "content_url": "https://foundation.mozilla.org/en/blog/truth-challenges-changes-algorithmic-bias-against-black-women/",
            "is_bookmarked": false,
            "tags": [
                "mozilla-cma"
            ],
            "issues": [
                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Kevin Zawacki",
            "submitter_profile_id": 82,
            "bookmark_count": 0,
            "related_creators": [],
            "entry_type": "base",
            "title": "TRUTH",
            "description": "TRUTH — an interactive web experience and physical art installation — highlights stories by Black women, about Black women. The stories touch on family, strength, creativity, and ambition, and provide a sorely-needed alternative to the existing “data” that is online.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-04-05_175014.1819050000.png",
            "created": "2023-04-05T17:50:14.181685Z",
            "moderation_state": 3
        },
        {
            "id": 2525,
            "content_url": "https://foundation.mozilla.org/en/blog/short-film-dzata-reimagines-technology-innovation-from-an-african-perspective/",
            "is_bookmarked": false,
            "tags": [
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            "issues": [
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            "entry_type": "base",
            "title": "Dzata",
            "description": "“Dzata: The Institute of Technological Consciousness” is a new creative research project by South Africa’s Lo-Def Film Factory and Russel Hlongwane. It views technology and innovation through a vastly different prism — one of African history, culture, and traditions.",
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            "featured": false,
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            "created": "2023-04-05T17:48:15.342051Z",
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        },
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            "id": 2524,
            "content_url": "https://foundation.mozilla.org/en/blog/mozilla-awardee-imagines-a-more-youth-inclusive-internet/",
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            "tags": [
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            "issues": [
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            "entry_type": "base",
            "title": "No Minor Futures",
            "description": "No Minor Futures is a global educational campaign exploring how today’s technologies — from social media to edtech — benefit and harm children and teenagers. The project convenes young people from around the world to participate in workshops, discuss the internet’s impact on their lives, and then create media that tells their stories.",
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            "featured": false,
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            "created": "2023-04-05T17:46:01.627924Z",
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        },
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            "id": 2523,
            "content_url": "https://foundation.mozilla.org/en/blog/afro-grids-unpacks-digital-colonialism-through-afrofuturism-and-african-folklore/",
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            "entry_type": "base",
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            "description": "Esther Mwema is using African Folklore and Afrofuturism in a new way: to document and bring to light digital colonialism. Mwema’s Afro-Grids is one of Mozilla’s 2022 Creative Media Awards which support people and projects to reimagine the way data is governed.",
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            "created": "2023-02-03T13:48:24.777269Z",
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            "content_url": "https://wustl.edu/",
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            "issues": [
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            "title": "Washington University",
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            "issues": [
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                {
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            ],
            "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.",
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            "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.",
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            "entry_type": "base",
            "title": "University of Colorado, Boulder",
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        {
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            "content_url": "https://www.ucdavis.edu/",
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            "tags": [
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            "issues": [
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                    "name": "University of California, Davis",
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            ],
            "entry_type": "base",
            "title": "University of California, Davis",
            "description": "Computer science students will be exposed to social science and humanities while pursuing their major, culminating in a \"conscientious\" senior project. The project will entail developing technology while assessing its impact on inclusion, privacy, and other factors, and there will be opportunities for projects with local nonprofits or government agencies.",
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            "created": "2022-11-21T11:39:08.659678Z",
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        {
            "id": 2477,
            "content_url": "http://www-student.cse.buffalo.edu/~atri/algo-and-society/spr20/index.html",
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