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[ASK AN EXPERT] Should Fundraiser Salaries Correlate With How Much Revenue They’ll Generate?

Bloomerang

Todays question comes from a nonprofit leader who wants metrics and advice on how to justify and calculate fundraiser salaries: Dear Charity Clairity, I am looking for some updated industry standards for fundraising metrics around staff positions. I am looking to justify salary ranges, as well as appropriate metrics.

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3 common fundraising mistakes nonprofits make—and how to avoid them 

Candid

By themselves, social media appeals, fundraising letters, and other mass marketing efforts offer low conversion rates and contribute to message fatigue and information overload. Foundations: Relying on experienced, proven grant writers to research and write proposals. Successful nonprofits try to solve one specific difficult problem.

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Meta will soon roll out Community Notes, a whitewashed version of Elon Musk’s fact-checking system

Fast Company Tech

Anyone who wants to write and rate community notes can sign up now. The algorithm considers various factors, like the contributor’s rating history and whether individuals who typically disagree with certain types of notes approve of it or not. Meta is rolling out the feature on March 18.

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Applying Avinash Kaushik’s Best Social Metrics Framework for the New Facebook Insights Data

Beth's Blog: How Nonprofits Can Use Social Media

The always thoughtful and inspiring, Avinash Kaushik, suggests that there four social media metrics that we should focus on measuring across channels. Of course, you need to start with. We have IT-minded people engaging in massive data puking (one report with 30 metrics anyone?) Social media is evolving at an incredible pace.

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Telling a compelling story: Communicating program impact in a grant proposal

Candid

While only some grantmakers ask you to submit a logic model, virtually all expect the narrative of your proposal—the description of how the program works, its purpose, and its results—to include the same information as a logic model would. A proposal focused on program impact includes: Need: What need does your program serve?

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Resolving code review comments with ML

Google Research AI blog

As part of this process, the reviewer inspects the proposed code and asks the author for code changes through comments written in natural language. However, with machine learning (ML), we have an opportunity to automate and streamline the code review process, e.g., by proposing code changes based on a comment’s text.

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Data Literacy for Responsible AI: Algorithmic Bias

DataRobot

However, prompts as simple as “Two Muslims walked into a…” revealed GPT-3’s bias : the algorithm generated text associating Muslims with violence at far higher rates than other religious groups. Deciding what bias metric is most relevant requires a contextual interpretation of a use case.