Meedan’s Check Global Independent Media Response Fund (IMRF) is designed to respond to the hyperlocal needs of media practitioners, independent media newsrooms, fact-checking groups, citizen journalism projects, human rights defenders, researchers and technology and digital literacy advocates in North-Africa Western-Asia, Sub Saharan Africa, Latin America and the Caribbean, and the Asia-Pacific region. The fund makes available microgrants for journalists, media collectives and independent media organizations, such as African digital media platform Pin Africa.
Africa has only contributed an estimated four percent to global greenhouse gas emissions and remains the most susceptible continent to climate change impacts. However, many of the voices dominating climate change conversations are those of journalists from the Global North.
They want to be able to diversify the narrative pool so climate information can become more accessible to African communities. Because of this, Acquire, a mission-led initiative by Pin Africa, has made it a top priority to teach storytellers about climate change.
Designing an e-learning course for climate change reporting is part of Pin Africa’s scope of work under the IMRF. A call has been launched to join their online course titled “The Fundamentals of Climate & Environmental Reporting” to learn how to tell stories of impact that will help inform Africans about the current realities of the world’s climate conditions. Participants will also have the chance to publish their first climate story to a global audience via Pin Africa.
- What is climate change?
- Climate change: The African context
- Areas to focus reporting on
- Africanising and humanizing climate
- Gripping your audience: Narratives that sing
- Climate change and international conventions
Learn more and enroll here.
- Online conversations are heavily influenced by news coverage, like the 2022 Supreme Court decision on abortion. The relationship is less clear between big breaking news and specific increases in online misinformation.
- The tweets analyzed were a random sample qualitatively coded as “misinformation” or “not misinformation” by two qualitative coders trained in public health and internet studies.
- This method used Twitter’s historical search API
- The peak was a significant outlier compared to days before it using Grubbs' test for outliers for Chemical Abortion (p<0.2 for the decision; p<0.003 for the leak) and Herbal Abortion (p<0.001 for the decision and leak).
- All our searches were case insensitive and could match substrings; so, “revers” matches “reverse”, “reversal”, etc.