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In this position paper, we propose the use of existing XAI frameworks todesign interventions in scenarios where algorithms expose users to problematiccontent (e.g. anti vaccine videos). Our intervention design includes facts (toindicate algorithmic justification of what happened) accompanied with eitherfore warnings or counterfactual explanations. While fore warnings indicatepotential risks of an action to users, the counterfactual explanations willindicate what actions user should perform to change the algorithmic outcome. Weenvision the use of such interventions as `decision aids' to users which willhelp them make informed choices.

Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users