Data Journalism vs Generic Language Killer

Data Journalism

By James Anditis (Journalism)

Turn datasets into stories with cleaning, analysis, and visualization workflows.

Generic Language Killer

By Kim Barrett (Advertising)

Replace vague, corporate fluff with clear, specific, human language that actually says something.

Data Journalism

• Cleans messy datasets by standardizing formats, handling missing values, and flagging duplicates
• Guides you through the full data journalism process from hypothesis to publication
• Provides templates for methodology documentation and story structure
• Connects you to major public data sources like Census Bureau, BLS, FDA, and state portals
• Handles common data problems like inconsistent dates, outliers, and similar names

Generic Language Killer

• Identifies generic phrases, buzzwords, and corporate fluff in your copy
• Replaces vague language with specific, direct statements
• Rewrites text to sound more human and less polished-to-death
• Transforms AI-sounding or overly formal copy into clear, real language

Reach for Data Journalism when…

• You're building a story from public datasets and need to verify your findings
• You have messy data with inconsistent formatting and missing values
• You need to explain your methodology clearly to readers
• You're looking for reliable data sources for research or reporting

Reach for Generic Language Killer when…

• You're reviewing marketing copy that sounds too generic or fluffy
• Your product description reads like every other SaaS landing page
• An email draft sounds corporate when you want it to feel personal
• You need to make AI-generated content sound like a human wrote it