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=published_by__profile&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=published_by__profile&page=37",
    "previous": "https://api.mozillapulse.org/api/pulse/v2/entries/?ordering=published_by__profile&page=35",
    "results": [
        {
            "id": 2436,
            "content_url": "https://chooseyourownfakenews.com/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "artificial intelligence",
                "cma",
                "cma2019",
                "game",
                "misinformation",
                "mozilla-cma",
                "simulations"
            ],
            "issues": [
                "Web Literacy"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
            "submitter_profile_id": 5750,
            "bookmark_count": 1,
            "related_creators": [
                {
                    "name": "Pollicy",
                    "profile_id": 6055,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Choose Your Own Fake News",
            "description": "This project uses comics and audio to explore how misinformation spreads across the African continent. Users engage in a choose-your-own-adventure game that simulates how retweets, comments, and other digital actions can sow misinformation, and how that misinformation intersects with gender, religion, and ethnicity.",
            "get_involved": "",
            "get_involved_url": "https://chooseyourownfakenews.com/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-04_122445.7082420000.png",
            "created": "2022-11-04T12:24:45.708021Z",
            "moderation_state": 3
        },
        {
            "id": 2482,
            "content_url": "https://wustl.edu/",
            "is_bookmarked": false,
            "tags": [
                "RCSC",
                "Responsible Computer Science Challenge"
            ],
            "issues": [
                "Web Literacy"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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            "bookmark_count": 0,
            "related_creators": [],
            "entry_type": "base",
            "title": "Washington University",
            "description": "Computer science students will participate in “studio sessions,” or group discussions that unpack how their technical education and skills intersect with issues like individual privacy, data security, and biased algorithms.",
            "get_involved": "",
            "get_involved_url": "",
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            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-21_115046.0144540000.jpg",
            "created": "2022-11-21T11:50:46.014226Z",
            "moderation_state": 3
        },
        {
            "id": 2533,
            "content_url": "https://zenoml.com/",
            "is_bookmarked": false,
            "tags": [
                "audit tools",
                "mozilla",
                "mozilla-mtf",
                "mozilla technology fund"
            ],
            "issues": [
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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            "bookmark_count": 0,
            "related_creators": [
                {
                    "name": "Carnegie Mellon University",
                    "profile_id": 6336,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Zeno",
            "description": "Zeno is a framework for evaluating and auditing AI models. It combines an extensible Python API with an interactive UI to empower anyone to explore how complex AI systems behave.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_103444.2541750000.png",
            "created": "2023-05-10T10:34:44.253957Z",
            "moderation_state": 3
        },
        {
            "id": 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,
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                {
                    "name": "Graduates for Engaged and Extended Scholarship in Computer Science and Engineering (GEESE)",
                    "profile_id": 6330,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "Reward Reports",
            "description": "Current AI documentation tools are able to account for model outputs, but not for outcomes generated by the system itself over time. For the past year, the team at the Graduates for Engaged and Extended Scholarship in Computer Science and Engineering (GEESE) have developed Reward Reports to address this gap. Reward Reports is an audit tool for comparing a system’s observed behaviors with the assumptions and expectations of its designers.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_100228.2005790000.png",
            "created": "2023-05-10T10:02:28.200255Z",
            "moderation_state": 3
        },
        {
            "id": 2528,
            "content_url": "https://incidentdatabase.ai/",
            "is_bookmarked": false,
            "tags": [
                "audit tools",
                "mozilla",
                "mozilla-mtf",
                "mozilla technology fund"
            ],
            "issues": [
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Responsible AI Collaborative",
                    "profile_id": 6331,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "AI Risk Checklists",
            "description": "A common approach across all risk audit processes is risk identification. Once risks are identified, auditors determine their probability and impacts. While several firms dedicated to the audit of AI have built their own risk check listing artifacts, commercial checklists are considered proprietary and confidential. In short, there is an incipient closing of the core processes and technologies backing AI audits. Their plan to enable open-source AI risk check listing is to build on top of the code, data, and metadata of their collaborative open-source project the AI Incident Database.",
            "get_involved": "",
            "get_involved_url": "",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2023-05-10_100652.8987480000.jpg",
            "created": "2023-05-10T10:06:52.898515Z",
            "moderation_state": 3
        },
        {
            "id": 2529,
            "content_url": "https://github.com/EleutherAI/lm-evaluation-harness",
            "is_bookmarked": false,
            "tags": [
                "audit tools",
                "mozilla",
                "mozilla technology fund",
                "mtf"
            ],
            "issues": [
                "Openness"
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            "help_types": [],
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                {
                    "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": 2435,
            "content_url": "https://thefutureofmemory.online/fom-game/",
            "is_bookmarked": false,
            "tags": [
                "AI",
                "algorithmic bias",
                "algorithms",
                "artificial intelligence",
                "cma",
                "cma2019",
                "creative media awards",
                "mozilla-cma"
            ],
            "issues": [
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                "Digital Inclusion"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Xiaowei Wang, Jasmine Wang, and Yang Yuting",
                    "profile_id": 6054,
                    "is_active": false
                }
            ],
            "entry_type": "base",
            "title": "The Future of Memory",
            "description": "This project explores algorithmic censorship, and the ways language can be made illegible to such algorithms. It reverse-engineers how automated censors work, to provide a toolkit of tactics using a new “machine resistant” language, composed of emoji, memes, steganography and homophones. The project will also archive censored materials on a distributed, physical network of offline modules.",
            "get_involved": "",
            "get_involved_url": "https://thefutureofmemory.online/fom-game/",
            "interest": "",
            "featured": false,
            "published_by_creator": false,
            "thumbnail": "https://assets.mofoprod.net/network-pulse/images/entries/2022-11-04_122008.7108650000.png",
            "created": "2022-11-04T12:20:08.710576Z",
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        },
        {
            "id": 2531,
            "content_url": "https://docs.tracking.exposed/guardoni/guardoni-intro/",
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            "tags": [
                "audit tools",
                "mozilla-mtf",
                "mozilla technology fund"
            ],
            "issues": [
                "Openness"
            ],
            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "Algorithms Exposed",
                    "profile_id": 6334,
                    "is_active": false
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            ],
            "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,
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            "created": "2023-05-10T10:30:39.572083Z",
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        },
        {
            "id": 2532,
            "content_url": "https://gigbox.media.mit.edu/",
            "is_bookmarked": false,
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                "mozilla",
                "mozilla-mtf",
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                    "name": "The Workers’ Algorithm Observatory (WAO)",
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            "title": "Gigbox",
            "description": "The Workers’ Algorithm Observatory (WAO) is a crowdsourced auditing collaboration for investigating black-box systems in the platform economy. Investigations of platform economy algorithms, such as those used by Uber and DoorDash, face major challenges in accessing the data necessary for a meaningful audit. To solve this, the team behind WAO is developing an algorithm observatory for workers and allies to audit the black-box algorithms behind platforms through crowdsourced data collection among peers.",
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            "featured": false,
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            "entry_type": "base",
            "title": "Countering Tenant Screening",
            "description": "Countering Tenant Screening Using Tenant Screening Data aims to develop a crowdsourcing tool and/or campaign to audit tenant screening services used by property owners. It seeks to reveal the patterns of the inner algorithms, data structures, and representations, by collecting tenant screening reports as well as denied renters’ experiences.",
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                "data",
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            "issues": [
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                    "name": "Black Wealth Data Center",
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                {
                    "name": "DataKind",
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            ],
            "entry_type": "base",
            "title": "DataKind",
            "description": "DataKind is a global nonprofit headquartered in the U.S. that seeks to leverage data science for the greater good. Working in collaboration with the Black Wealth Data Center, DataKind will create an interactive data tool to help community leaders, policymakers, and access providers understand broadband inequalities in the U.S. Leveraging existing but dispersed data and a network of collaborators, DataKind aspires to shine a light on where “digital deserts” exist, and how different communities are impacted by them.",
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            "created": "2023-05-16T08:08:25.333798Z",
            "moderation_state": 3
        },
        {
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            "content_url": "https://ooni.org/",
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            "tags": [
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                "open source"
            ],
            "issues": [
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            ],
            "help_types": [],
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            "created": "2023-05-16T08:17:03.550315Z",
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            "entry_type": "base",
            "title": "POSMO",
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            "entry_type": "base",
            "title": "Tattle",
            "description": "Tattle is a civic technology company working for a healthier online information ecosystem in India. They will continue to develop Uli, their browser plugin that gives social media users tools for a collective response to online gender-based violence, and seek to include new crowdsourcing tools for annotation and reporting.",
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            "tags": [
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                "data stewardship"
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            "entry_type": "base",
            "title": "Tidepool",
            "description": "Tidepool is a nonprofit organization based in San Francisco, California, developing technology to provide intuitive software products that help people with diabetes. Tidepool will continue to grow its Big Data Donation Project, which enables people to donate data from their diabetes devices to help fuel the next generation of diabetes research. During this year, they will develop a blanket real-world evidence protocol to expand the potential impact of the donated data. They will also conduct interviews to develop a report to help measure and share the impact of the data sets donated to date.",
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            "created": "2023-05-16T09:36:35.681857Z",
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        },
        {
            "id": 2479,
            "content_url": "https://www.colorado.edu/",
            "is_bookmarked": false,
            "tags": [
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                "Responsible Computer Science Challenge"
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            "issues": [
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            "help_types": [],
            "published_by": "Shandukani Mulaudzi",
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                {
                    "name": "University of Colorado, Boulder",
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            ],
            "entry_type": "base",
            "title": "University of Colorado, Boulder",
            "description": "This initiative integrates an ethics component into introductory programming classes, and features an “ethics fellows program” that embeds students with an interest in ethics into upper division computer science and technical classes.",
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            "created": "2022-11-21T11:42:49.494760Z",
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        },
        {
            "id": 2434,
            "content_url": "https://stealingurfeelin.gs/",
            "is_bookmarked": false,
            "tags": [
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            "issues": [
                "Web Literacy",
                "Privacy & Security"
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                "Watch session"
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            "published_by": "Shandukani Mulaudzi",
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                    "name": "Noah Levenson",
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            ],
            "entry_type": "base",
            "title": "Stealing Ur Feelings",
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