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Twilight

Twilight

2008 · Movie · PG-13 · 122 minAdaptation

DramaFantasyRomanceYA

When Bella Swan moves to a small town in the Pacific Northwest, she falls in love with Edward Cullen, a mysterious classmate who reveals himself to be a 108-year-old vampire. Despite Edward's repeated cautions, Bella can't stay away from him, a fatal move that endangers her own life.

IMDBTMDB
The Verdict
◎
Audience
Made primarily for young women (80).
◈
Reach
Has targeted appeal — designed for a specific demographic segment.
◇
Advocacy
Entertainment (17/100) — content choices prioritize storytelling over messaging.
◉
Representation
lower hispanic (30) and black (28) representation.
◆
Faithfulness
A highly faithful adaptation (85/100) of the source material.
⇌
Casting Changes
1 character race change from source material: Jacob Black (indigenous → indigenous).
Young MaleYoung FemaleMature MaleMature Female
Demographic Position
Gender: 66 — leans female
Age: 36 — leans younger
0 = Male / Youth100 = Female / Mature
Primary: Young Women
targeted

Quadrant Scores

Young Men
49
How strongly this title appeals to males 18–34. Based on genre, cast, action/violence levels, pacing, and marketing signals. Higher = stronger appeal.
Young Women
80
How strongly this title appeals to females 18–34. Based on genre, romance centrality, cast composition, lead demographics, and tone. Higher = stronger appeal.
Older Men
20
How strongly this title appeals to males 35+. Based on theme maturity, pacing, complexity, genre, and production style. Higher = stronger appeal.
Older Women
51
How strongly this title appeals to females 35+. Based on drama elements, character complexity, genre, cast, and emotional themes. Higher = stronger appeal.
Faithfulness
85
How closely this adaptation matches its source material. Measures character accuracy, plot fidelity, tone preservation, and demographic consistency. 100 = perfectly faithful.
Advocacy17
Entertainment

Audience Representation

White
57
Measures deviation from the expected White representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Black
28
Measures deviation from the expected Black representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Hispanic
30
Measures deviation from the expected Hispanic representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Asian
41
Measures deviation from the expected Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
South Asian
46
Measures deviation from the expected South Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Middle Eastern
48
Measures deviation from the expected Middle Eastern representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Indigenous
51
Measures deviation from the expected Indigenous representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Mixed
48
Measures deviation from the expected Mixed representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Other
48
Measures deviation from the expected Other representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
LGBTQ+
0
LGBTQ+ representation score based on character centrality, cast percentage, lead representation, and source fidelity. 0 = no representation, 100 = central to the story.
Score version: v1Data confidence: 75%How are scores calculated?