Analysis on Social media platforms and toxicity scores

Shankramma-Oracle

Used the Social media dataset to perform analysis on how the different platforms have different toxic scores.

Social_Media_Analysis_Submission.dva

The dataset includes details about the platform, brand, product, campaign, location, language, sentiment, and other metrics.

1. Which dataset did you use?

I have used Social Media Dataset.

2. How did you analyze or prepare the data?

I have identified facts and dimensions, then joined FACT.platform → DIM_Platform.platform_name | FACT.brand_name → DIM_Brand.brand_name | FACT.campaign_name → DIM_Campaign.campaign_name to prepare required dataset.

3. Who is the intended audience for your visualization?

The intended audience for a social media dataset spans a wide range of professionals and organizations, hence I have considered Research Institutions and Academics to study online behavior, social trends, and public opinion.

4. What is your visualization about, and what question or problem does it address?

The visualization is to see the intensity of the toxicity through the different social media platforms. The main purpose was to see how the social media platforms influence the public opinions and how quick the negative or positive opinions are created and impact in creating toxicity throughout the country.

5. Did you use any Oracle Analytics AI features when building your visualization (ex. AI Assistant)? If so, please describe how they were used.

Yes, to generate the narratives but it did not give complete answer hence used the Language Narrative option.

6. Did you upload your visualization image and dva file?

Yes, I have uploaded both the image and dva files successfully.