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eMonitor+ findings reach Mozambique's election commission in 2023

An evaluation for UNDP found that findings from eMonitor+ went to Mozambique's National Elections Commission to help it address misinformation and disinformation around the 2023 local elections.

  • Not rated an organization

    The evaluator reports that findings reached the commission but gives no count of posts flagged or of actions that the commission took.

  • Not rated society

    No change in misinformation or hate speech around the 2023 local elections is measured, and the public did not receive the data.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed, the grade of this record

Only the evaluators support the benefit.

The system’s part
Not isolated. The evaluator writes that the team monitored digital media using AI tools and calls eMonitor+ an AI-driven system. In 2022 UNDP wrote that the platform relies on machine learning and works in Arabic, English, French and Spanish. No source describes the model, its accuracy or its handling of Portuguese posts. The evaluator does not separate the AI's part from the monitors' work.
Later
Persisted, 9 October 2024. The evaluator reports that the platform was in use in 2024 in the run-up to the October elections.
Not yet checked
LimitsCosts and harmsLearns from data
Benefit type
Improved Knowledge Discovery
System
eMonitor+, UNDP's platform for monitoring digital media in elections
Made by
UNDP Regional Bureau for Arab States (developed in Tunisia, according to the evaluation)
Used by
UNDP Mozambique's Enhancing Democracy and Electoral Processes (EDEP) project, staffed by UN Volunteers, for Mozambique's National Elections Commission (CNE)
Where
Mozambique (national)
Stage
In routine use
Date
Kind
Program
Broad benefit
Monitoring Processes, Materials, or Surroundings, Identifying Objects, Actions, and Events
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Evaluation report, by an evaluator that the makers or users commissioned.

    Robertson, L. Mid-Term Evaluation Report: Enhancing Democracy and Electoral Processes in Mozambique. Independent evaluation commissioned by UNDP Mozambique, 9 October 2024, p. 17 (Output 1). Published in the UNDP Evaluation Resource Center.

    For the 2023 local elections, findings from "eMonitor+" were delivered to CNE to assist them in addressing misinformation and disinformation around these elections.
    EDEP worked to nationalize the AI-driven system and staff it through UN Volunteers trained, managed, and funded through the program.
  2. Press release, by the makers. Context or contrary evidence.

    UNDP Regional Bureau for Arab States. Election Commission uses artificial intelligent to enhance women's participation in electoral processes. Press release, Tripoli, 9 August 2022, note to editors (archived copy). UNDP's Regional Bureau for Arab States developed eMonitor+.

    It relies on machine learning to track and analyze the content on digital media to generate graphical representations for data visualization.

Details

AI system

Workflow

The project hired, trained and equipped five staff to monitor digital media using AI tools. UN Volunteers trained, managed and funded through the project staffed the platform. Findings went to the National Elections Commission for the 2023 local elections.

Follow-up

Conditions for replication

Election bodies must take a more communicative, open and swift stance against disinformation and hate speech. Trained monitors funded by the project must staff the platform.

Entry details

Sector

Electoral integrity / information monitoring.

Purpose

UNDP's Regional Bureau for Arab States built eMonitor+ to scan online media for electoral violations, misinformation, hate speech and online violence against women.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). eMonitor+ findings reach Mozambique's election commission in 2023 (AIBD-0923). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-0923.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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