Both the tipline and articles dashboards, which will be described in greater detail individually, can be modified using customizable display filters.
The default date range is for the past 30 days, but this can be adjusted to show only the past seven, 14, 30, 90, or 180 days or to show all data from the year up to the present date.
For multilingual tiplines, language filters allow you to isolate data pertaining to any supported language for greater analysis.
The tipline dashboard
Located at the top of the tipline window, this dashboard allows you to access a detailed view of your tipline data, and you can use an additional customizable filter to sort by platform for any of the supported messaging services your tipline uses.
From the tipline dashboard, you can review these metrics:
tipline message volume: the total number of messages exchanged between tipline users and the bot.
conversations: the total number of unique, multistep interaction cycles that conclude with the delivery of feedback from the tipline user to the bot, examples of which could include the submission of a query, opting in or out of newsletters, or accessing resources from the menu.
Note: This varies from Meta Platforms’ understanding, which defines all interactions between a tipline user and the bot as forming a single conversation as long as they occur within a 24-hour window, regardless of how many different kinds of activities are undertaken during that time frame. Information on conversations, as defined by Meta, is available in a separate table labeled “All Data.”
search results: the total number of responses sent from the bot, grouped into separate categories based on whether these responses were met with any feedback from tipline users and, if so, whether the feedback was positive or negative.
average response time: the median interval of time between when a submission is sent to the tipline and when a fact-check is sent back to the tipline user.
users: the total number of unique and returning users who have logged at least one session during the two months prior to the selected time period.
articles sent: the total number of articles sent to tipline users, with each individual delivery being considered a new entry in the total.
matched results: the total number of explainers and fact-checks sent back to tipline users that directly respond to the users’ submissions, with each individual delivery being considered a separate entry in the total.
subscribers: the total number of tipline users who opted in to receive newsletters
newsletters sent: the total number of newsletters dispatched to subscribers, with each individual delivery being considered a separate entry in the total.
top media cluster tags: a sorted list, where such information is available, of the most frequently added tags attached to tipline queries. Clicking any tag opens a new tab displaying all the clusters associated with that tag.
top requested media clusters: visual clusters that highlight the most popular groupings of thematically similar user-submitted content.
media received: an index of tipline queries sorted by media type (text, link, audio file, image, or video).
All raw data can be exported.
The articles dashboard
Located at the top of the articles window, this dashboard provides you with a detailed view of several metrics, including:
articles added and updated: the total number of articles added to the workspace or updated from within it.
explainers and fact-checks created: the total number of explainers and fact-checks added to the workspace.
published fact-checks: the total number of fact-checks that are published, as opposed to being paused or unpublished.
articles sent: the total number of articles sent back to tipline users, with each individual delivery being considered a separate entry in the total.
matched results: the total number of explainers and fact-checks sent back to tipline users that directly respond to the users’ submissions.
top fact-checks sent: a list of the top five explainers returned to tipline users.
top article tags: a list of the top five tags associated with articles in the workspace.
claims and fact-checks: an index of specific fact-check ratings and statuses that can be defined by workspace users.