In the third quarter of 2024, WhatsApp was the most popular social media platform in Nigeria. It was mentioned by over 95 percent of internet users in the country 16 years and older. In absolute terms, the number of people using WhatsApp was projected at nearly 15 million in 2026. Social media platforms with most users The count of Facebook users in Nigeria significantly exceeded that of WhatsApp in 2022. In that year, Facebook users were expected to add up to slightly over 36 million, representing a user penetration rate of around 16.7 percent. Moreover, considering the count of users, around 26 million people were potentially reachable by online advertisers on Facebook. YouTube was another popular social network used by residents in Nigeria. Individuals who used the platform were forecast at nearly 6.7 million in 2022. Increasing overall social media usage In recent years, the number of social media users in Nigeria has been on the rise. As of 2022, social media users in the country reached roughly 34 million in total, expanding from the 18 million individuals registered in 2017. On the basis that this increasing trend keeps stable, it is expected that, by 2025, over 90 million people will use at least one social media platform in Nigeria. Overall, the most followed network accounts are those of friends, family, and people known by the social media user

This statistic shows the number of social network users in Nigeria from 2017 to 2026. In 2021, there were approximately ** million social network users in Nigeria, and this figure is projected to grow to *** million users in 2026.

Social Media Sentiment Datasets

  Dataset Description

Customer posts and complaints from social media platforms

  Dataset Information

Category: Customer Experience and Sentiment Format: CSV, Parquet Rows: 150,000 Columns: 15 Date Generated: 2025-10-05 Location: data/social_media_sentiment_datasets/

  Schema

Column Type Sample Values

post_id String SM00000001

timestamp Datetime 2025-09-06 09:38:00

platform String LinkedIn… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian-telecom-social-media-sentiment-datasets.

As of June 2025, Facebook was the social media platform that was most often accessed on mobile devices in Nigeria, accounting for a market share of roughly ** percent. This was followed by Youtube and Twitter with around ** percent and ** percent, respectively. Overall, the share of Facebook in the total web traffic in Nigeria reached over ** percent in 2021.

The social media data was obtained by extracting online discourse on Nigeria's 2013 budget. This was done as a component of the media analysis on the case study investigating the use of the online national budget of Nigeria which is part of the 'Exploring the Emerging Impacts of Open Data in Developing Countries' (ODDC) research project.

As of February 2025, Nigeria had **** million active social media users. WhatsApp iand Facebook are the most used social media platforms in Nigeria.

Social media e-participation preference data from the Nigerian local government. the data as extracted from an online Google data form.

The number of social media users in Nigeria was forecast to continuously increase between 2024 and 2029 by in total **** million users (+****** percent). After the ninth consecutive increasing year, the social media user base is estimated to reach ***** million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of social media users in countries like Senegal and Ivory Coast.

As of January 2025, around **** percent of social media users in Nigeria aged between 18 and 24 years were men. Moreover, the share for women in the same age group corresponded to nearly ** percent.

Social Media Interaction Logs

  Dataset Description

Comprehensive social media interaction logs for Nigerian retail and e-commerce analysis

  Dataset Information

Category: Marketing and Engagement Industry: Retail & E-Commerce Country: Nigeria Format: CSV, Parquet Rows: 400,000 Columns: 11 Date Generated: 2025-10-06 Location: data/social_media_interaction_logs/ License: GPL

  Schema

Column Type Sample Values

post_id String POST0000000… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_retail_and_ecommerce_social_media_interaction_logs.

Nigeria digital advertising and social media economy market valued at USD 1.2 Bn, driven by internet penetration and e-commerce growth, projected to expand with influencer marketing and video content trends.

One of the sectors that felt the impact of the Corona Virus Disease 2019 (COVID-19) pandemic was the educational sector. The outbreak led to the immediate closure of schools at all levels thereby sending billions of students away from their various institutions of learning. However, the shut down of academic institutions was not a total one as some institutions that were solely running online programmes were not affected. Those who were running face to face and online modes quickly switched over to the online mode. Unfortunately, institutions that have not fully embraced online mode of study were greatly affected. 85% of academic institutions in Nigeria are operating face to face mode of study, therefore, majority of Nigerian students at all levels were affected by the COVID-19 lockdown. Social media platforms and emerging technologies were the major backbones of institutions that are running online mode of study, therefore, this survey uses the unified theory of acceptance and use of technology (UTAUT) model to capture selected Face to face Nigerian University students accessibility, usage, intention and willingness to use these social media platforms and emerging technologies for learning. The challenges that could mar the usage of these technologies were also revealed. Eight hundred and fifty undergraduate students participated in the survey.

The dataset includes the questionnaire used to retrieve the data, the responses obtained in spreadsheet format, the charts generated from the responses received, the Statistical Package of the Social Sciences (SPSS) file and the descriptive statistics for all the variables captured. This second version contains the reliability statistics of the UTAUT variables using Cronbach's alpha. This measured the reliability as well as the internal consistency of the UTAUT variables. This was measured in terms of the reliability statistics, inter-item correlation matrix and item-total statistics. Authors believed that the dataset will enhance understanding of how face to face students use social media platforms and how these platforms could be used to engage the students outside their classroom activities. Also, the dataset exposes how familiar face to face University students are to these emerging teaching and learning technologies.

This paper investigates the preference, adoption, and utilization of e-government services among the citizens of Nigeria through preferred social media. Adopting a quantitative methodology approach with 1000 samples from various local governments and Statistically Analyzing the data, the research explores the extent to which Nigerian citizens have embraced e-government initiatives through social media and the factors influencing their adoption. Questions focusing on the availability of e-government platforms, social media e-governance, and e-participation level based on trust in government, the most preferred social media for e-participation were considered. Findings reveal varying levels of e-government adoption across different local government authorities, influenced by factors such as infrastructure limitations, institutional capacity, and political will, also a high level of participation through various social media platforms was observed, and the level of correlation between government trust and e-participation using the available platforms was found to be minimal. The paper contributes to the understanding of e-government implementation in the Nigerian context, offering insights into strategies for enhancing the effectiveness and sustainability of e-government initiatives at the local government level using social media Platforms.

Techsalerator’s Location Sentiment Data for Nigeria

Techsalerator’s Location Sentiment Data for Nigeria provides an in-depth analysis of public sentiment across various geographical locations in the country. This dataset is vital for businesses, policymakers, and researchers looking to understand consumer perceptions, social trends, and regional sentiment variations.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Location Sentiment Data for Nigeria

Techsalerator’s Location Sentiment Data for Nigeria offers a structured analysis of sentiment trends across cities, rural areas, and commercial hubs. This dataset is essential for market research, political analysis, urban planning, and AI-driven sentiment analysis.

Top 5 Key Data Fields

• Geographic Location – Pinpoints where sentiment data is collected, including cities, states, and specific districts.
• Sentiment Score (Positive/Negative/Neutral) – Provides a numerical sentiment analysis score derived from social media, surveys, and news sources.
• Source of Sentiment – Identifies whether data originates from social media, reviews, news articles, or direct surveys.
• Time Stamp of Sentiment Data – Records when sentiment data was collected, allowing for trend analysis over time.
• Emotion Classification – Categorizes emotions such as happiness, anger, fear, and trust based on textual and social data.

Top 5 Location Sentiment Trends in Nigeria

• Urban vs. Rural Sentiment Variations – Urban areas like Lagos and Abuja show higher fluctuations in sentiment, while rural regions have more stable sentiment patterns.
• Economic and Political Influence – Sentiment spikes during key political events and economic changes, reflecting public opinion shifts.
• Social Media’s Role in Sentiment Trends – Platforms like Twitter and Facebook significantly impact sentiment trends, with hashtags and viral topics shaping public discourse.
• Consumer Brand Perception – Companies leverage sentiment data to understand how different regions perceive their brands and services.
• Security and Public Safety Sentiments – Sentiment analysis is used to gauge public concern over crime rates and government response in different locations.

Top 5 Applications of Location Sentiment Data in Nigeria

• Market Research & Brand Strategy – Businesses use sentiment insights to tailor marketing campaigns and product positioning.
• Political Campaign Analysis – Politicians and analysts track public opinion and adjust messaging based on regional sentiment.
• Urban and Infrastructure Planning – Government agencies use sentiment data to improve city planning and public services.
• Crisis Management & Security Monitoring – Law enforcement and NGOs analyze sentiment spikes related to protests, conflicts, and public safety concerns.
• AI-Powered Chatbots & Customer Insights – Companies use location-based sentiment analysis to enhance customer interactions and AI-driven support systems.

Accessing Techsalerator’s Location Sentiment Data

To obtain Techsalerator’s Location Sentiment Data for Nigeria, contact info@techsalerator.com with your specific requirements. Techsalerator provides customized datasets based on requested fields, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Geographic Location
• Sentiment Score (Positive/Negative/Neutral)
• Source of Sentiment (Social Media, News, Surveys, etc.)
• Time Stamp of Sentiment Data
• Emotion Classification (Happiness, Anger, Fear, etc.)
• Public Opinion on Key Topics
• Regional Trends & Hotspots
• Consumer and Brand Sentiment
• Political Sentiment Tracking
• Contact Information

For deep insights into public sentiment trends across Nigeria, Techsalerator’s dataset is an essential tool for researchers, marketers, government agencies, and AI developers.

Nigeria digital advertising and programmatic media market valued at USD 300 million, driven by internet penetration and mobile usage, with strong growth in social media and retail sectors.

Survey research on migrants is notoriously challenging, especially if the goal is to collect data across a range of countries. Social-networking sites’ ability to micro-target advertisements to migrant communities combined with their near-global reach makes them an attractive option. Yet there is little rigorous evaluation of the quality of data thus collected – especially for populations from developing countries. We compare samples of Nigerian emigrants in Canada and Italy and Nigerians (at home) in Nigeria recruited through targeted advertising on Facebook and Instagram to population estimates. We find our samples contain varying degrees of bias in the case age and gender, and systematically miss those with little formal education. How much this affects our samples’ representativeness varies across contexts: discrepancies are much smaller for emigrant populations in Canada than in Italy and much larger in Nigeria, where a large share of the population has little formal education and limited literacy. Post-stratifying each sample on age, gender, and education does not ameliorate bias on other variables such as ethnicity, religion, period of migration, or political attitudes. We discuss the potential and limitations of social-media driven sampling and highlight key considerations for implementing it to collect multi-sited data on migrants. For Peer Review

The dataset contains tweets related to the 2023 presidential elections in Nigeria. The data was retrieved from the social media network, Twitter (Now X) between February 4^th, 2023 and April 4^th, 2023. The hashtags from the official handles and other popular hashtags endorsed and/or representing the candidates of each party were considered for retrieving election related tweets using an API from Twitter social media platform. Three major political parties in Nigeria were considered and they have been labelled as Party A, Party L and Party P in this dataset. The party or group called "General" contains tweets from the Independent National Electoral Commission (INEC) hashtags such as @inecnigeria and #2023election which is not directly for any political party.

The dataset has been pre-processed lightly to make it very useful to researcher for a wide range of natural language processing tasks like sentiment analysis, topic modelling, fake news detection, emotion detection, election stance, etc.

Details of the dataset collection such as hashtags, retrieved tweets, duplicates removed, and the remaining unique tweets is presented in Table 1.

Table 1: Tweets collection and duplicates removal

To encourage NLP tasks, we uploaded in this Version One the following files:

1. The combined dataset with pre-processed tweets and their meta data but with removed duplicates are in the file labelled “Combined Dataset Pre-processed without duplicates.csv”
2. General statistics on each corpus is in the file labelled “Dataset Statistics.xlsx”
3. The preprocessed corpus from the general group with the tweet contents only is in file labelled “Preprocessed_Tweet only_GENERAL.xlsx”
4. The preprocessed corpus from Party A with the tweet contents only is in file labelled “Preprocessed_Tweet only_Party A.xlsx”
5. The preprocessed corpus from Party L with the tweet contents only is in file labelled “Preprocessed_Tweet only_Party L.xlsx”
6. The preprocessed corpus from Party P with the tweet contents only is in file labelled “Preprocessed_Tweet only_Party P.xlsx”
7. The top 100 frequent tokens are in the file labelled “Top 100 Tokens and weights.xlsx”
8. The top frequent bigrams and their weights are in the file labelled “Top 100 Bigrams and weights.xlsx”
9. The top frequent trigrams and their weights are in the file labelled “Top 100 Trigrams and weights.xlsx”

Nigeria online advertising and digital media market is valued at USD 1.1 billion, driven by internet penetration and mobile adoption, with growth in social media and video ads.

There were more male social media users in Nigeria than female users as of the third quarter of 2023. Men using social media represented over ** percent of the total users. In the beginning of the same year, nearly ** million individuals were connected to a social media platform in the country. WhatsApp was the most popular social media in the country in the year prior, 2022.

This statistic provides information on the social network user penetration in Nigeria from 2017 to 2026. In 2021, 20.34 percent of internet users in Nigeria accessed social media. It is estimated that in 2026, social network users in the country will be **** percent.