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Twitterhttps://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules
Tactics Tools, MB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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Twitterhttps://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules
Snapp Tools, MB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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Twitterhttps://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules
MB All tools financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Challenge-based on the workshop "*Introduction to data analysis using open-source command-line tools and python.*"
https://www.atlanticcouncil.org/wp-content/uploads/2019/09/09.18.19-DFRLab-Logo-web-card-500x350.png" alt="">
The current version of the data contains: - ghana_nigeria_takedown_tweets.csv (22.26 MB) - Source: Twitter - ghana_nigeria_takedown_users.csv (16.27 KB) - Source: Twitter - ghana_trending_topics_200401-200519.csv (134.77 KB) - Source: Trendinalia - nigeria_trending_topics_200401-200519.csv (262.5 KB) - Source: Trendinalia
The Twitter-related datasets expose an information operation by a small network operating out of Ghana and Nigeria. In a Twitter post, this social platform stated:
In collaboration with law enforcement, industry peers, journalists, and expert researchers, we recently suspended a small network of accounts largely Tweeting in English and that presented themselves as based in the United States.
These 71 removed accounts, operating out of Ghana and Nigeria and which we can reliably associate with Russia, attempted to sow discord by engaging in conversations about social issues, like race and civil rights.
The Trendinalia-related datasets show trending hashtags in Nigeria and Ghana between April 01 to May 19, 2020.
Some of these datasets were created by Twitter. - ghana_nigeria_takedown_tweets.csv (22.26 MB) - Source: Twitter - ghana_nigeria_takedown_users.csv (16.27 KB) - Source: Twitter
This dataset is part of Twitter's archive of state-backed information operations.
In line with our principles of transparency and to improve public understanding of alleged foreign influence campaigns, Twitter is making publicly available archives of Tweets and media that we believe resulted from potentially state-backed information operations on our service.
The trending topic monitor tool Trendinalia hosts Twitter trending topics globally. This tool allows researchers to explore trending hashtags in different locations.
DFRLab's research on influence and information operations has led to a better understanding of how disinformation spread on social media. Our inspiration is to create a large community of digital Sherlocks, able to use open-source tools to counter disinformation. This dataset is an example of common data used by DFRLab's researchers.
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MB Dirginta amber tools financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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Twitterhttps://manitoba.ca/legal/copyright.htmlhttps://manitoba.ca/legal/copyright.html
Information on all public sector employees who were paid $75,000 or more in the year beginning in 2020 and are subject to the Public Sector Salary Disclosure Act. The Manitoba government discloses annually the compensation paid in the fiscal year or in the calendar year to a person who is a member of the civil service or who holds a specified public office if their annual compensation is equivalent to or exceeds the minimum legislated threshold for disclosure.This table lists those individuals defined above, along with related information described in the ‘fields’ below. This table is presented in the Manitoba Public Sector Compensation Disclosure application, which is a user-friendly interactive tool that adds functionality such as filtering, search, and data export.Fields included (Alias (Field name): Field description.) Sector (Sector): A standard set of sectors that will allow for searching and categorizing similar organizations.First Name (First_Name): First name or first initial based on the past practice of the organizationLast Name (Last_Name): Last name or badge number based on the past practice of your organizationTotal Compensation (Total_Compensation): Total compensation that includes employment contract, total value of all cash and non-cash salary or payments, allowances, bonuses, commissions and perquisites.Job Title (Job_Title): Job title, position name or position category, based on the past practice of the organization.Employer (Employer): This field will contain the name of the employer.Department/Region (Department_Region): This is an optional field for organizations that currently report departmentReporting Year (Reporting_Year): The fiscal year or calendar year in which the reporting period ended. (e.g. a fiscal year ending March 2021 and a calendar year ending December 2021 will both be listed as 2021)Reporting Schedule (Reporting_Schedule): This field will indicate which of the two reporting calendars the information reflects, based on the past practice of the organization.For more information on proactive disclosure by the Manitoba government, please visit the following site: https://www.gov.mb.ca/openmb/infomb/index.html Have thoughts on how this tool could be improved? Visit EngageMB.ca/OpenMB
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