Editing Science Journalism (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Sensationalism Score' (Detecting 'Hype' in a headline):'''
<syntaxhighlight lang="python">
def evaluate_science_hype(headline, sample_size, animal_type):
    """
    Shows if a 'Story' is 'Stretching' the Truth.
    """
    score = 0
    if "Cure" in headline or "Breakthrough" in headline: score += 50
    if sample_size < 20: score += 20 # Too small to be sure
    if animal_type == "Mice": score += 20 # Not tested on humans yet
    
    if score > 70:
        return f"HYPE LEVEL: EXTREME ({score}/100). Read with deep skepticism."
    elif score > 30:
        return "HYPE LEVEL: MODERATE. Interesting, but needs context."
    else:
        return "HYPE LEVEL: LOW. Likely a responsible report."

# Case: "NEW MIRACLE CURE FOR ALZHEIMER'S FOUND (in 5 mice)"
print(evaluate_science_hype("MIRACLE CURE FOUND", 5, "Mice"))
</syntaxhighlight>

; Journalism Landmarks
: '''The 'Neyman' Warning (1950s)''' → The first "Scientists" to "Complain" that the "Media" was "Destroying their Nuance," starting the "Tension" between the two fields.
: '''Quanta Magazine''' → A "New Wave" of "Non-Profit" journalism that "Doesn't care about Clicks," focusing on "Deep, Long-form Math and Physics" for an "Educated Audience."
: '''The 'Science' Section''' (NYT/BBC) → The "Gold Standard" of "Internal Gatekeeping": specialized desks that "Filter the Hype" before it reaches the main page.
: '''Science Blogging''' → The "Disruption": "Scientists" "Writing directly to the public" to "Fact-Check" the "Bad Headlines" of the mainstream media.
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