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MetLife social media dataset

MetLife social media dataset

This dataset contains 263,819 social media mentions of MetLife spanning sports venue discussions, corporate executive compensation debates, and entertainment events at MetLife Stadium.

8 social networks

2022 - 2026

Updated monthly

Mentions

263,819

Views

125.4M

Engagement

36.0M

Sample data

[ { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "7591593383936740639", "url": "[redacted]", "title": null, "text": "Quinnen Williams Needs a tour of MetLife fr 😅 (via NickHarrisFWST/X) #quinnenwilliams #cowboys #jets #nfl #football ", "text_snippet": null, "timestamp": "2026-01-04T19:39:57Z", "lang": "en", "hashtags": [ "quinnenwilliams", "cowboys", "jets", "nfl", "football" ], "author": { "id": "115677966784659456", "username": "whistle", "display_name": "Whistle", "verified": true }, "engagement": { "like_count": 32100, "comment_count": 40, "share_count": 94, "bookmark_count": 1182, "play_count": 258000 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": null }, { "platform": "[redacted]", "type": "content", "content_type": "text", "id": "3m6poe7wano2c", "url": "[redacted]", "title": null, "text": "What do these corporations have in common?\n\nNetflix\nFord\nTesla\nT-Mobile\nDuke Energy\nDISH Network\nMetlife\nDominion Energy\nUnited States Steel\n\nIn recent years, they all paid their execs more than they paid in taxes.\n\nThis is what a corporate-rigged system looks like.", "text_snippet": null, "timestamp": "2025-11-28T20:00:21.963590", "lang": "en", "hashtags": null, "author": { "id": "did:plc:4u3hwe3p7oy3hoy3amlw7rp2", "username": "rbreich.bsky.social", "display_name": "Robert Reich", "verified": true }, "engagement": { "like_count": 20203, "comment_count": 348, "share_count": 7788, "bookmark_count": 252 }, "media": null, "metadata": null }, { "platform": "[redacted]", "type": "content", "content_type": "video", "id": "LP6rz3x_JXc", "url": "[redacted]", "title": "Jonas Brothers ft. Demi Lovato - Wouldn't Change a Thing (Live from MetLife Stadium)", "text": "Jonas Brothers and Demi Lovato perform \"Wouldn't Change a Thing\" live from MetLife Stadium on opening night of the Greetings From Your Hometown Tour. \n\n► Listen to \"Friends From Your Hometown\" the live album out now https://jonasbrothers.lnk.to/FFYH\n\n► Get tickets to Jonas Brothers live in Vegas Memorial Day Weekend\nhttps://www.ticketmaster.com/jonas-brothers-tickets/artist/1052712\n\n► Get tickets to Jonas Brothers Greetings From Your Hometown South America Tour \nhttps://jonasbrothers.com\n\n► Get ", "text_snippet": null, "timestamp": "2026-03-13T16:35:56Z", "lang": "en", "hashtags": [ "#jonasbrothers", "#demilovato", "#joejonas", "#nickjonas", "#kevinjonas" ], "author": { "id": "UCFvXnyAhluG3sa6p3eOs_LA", "username": "@JonasBrothers", "display_name": "Jonas Brothers" }, "engagement": { "view_count": 89452, "like_count": 10889, "comment_count": 544 }, "media": [ { "type": "video", "url": "[redacted]" } ], "metadata": { "keywords": null } } ]

About this dataset

This comprehensive dataset captures the diverse ways MetLife appears in social media conversations, from NFL fans discussing player experiences at MetLife Stadium to political commentators analyzing executive compensation practices at major corporations including MetLife. The mentions reveal how the insurance giant's brand intersects with sports culture, corporate accountability discussions, and major entertainment events hosted at their namesake stadium.

Researchers can use this dataset to analyze brand association patterns between insurance companies and sports venues, track public sentiment around corporate executive pay during economic discussions, or study how entertainment events influence brand visibility. The data provides unique insights into how traditional financial services brands gain social media presence through sports sponsorships and cultural moments rather than direct financial product marketing.

Boolean query used

"MetLife"

This dataset is generated by running the above query across social networks. All matching posts and their comments are included.

Data fields included

platform

string

url

string

type

string

content_type

string

id

string

text

string

timestamp

ISO 8601

lang

string

hashtags

array

author

object

mentions

array

engagement

object

media

object

metadata

object

title

string

text_snippet

string

$253

Based on 263,819 mentions at $0.00096/mention

Buy dataset

Delivered via JSON/CSV

Mentions

263,819

Views

125.4M

Engagement

36.0M

Social networks

8

Date range

2022 - 2026

Format

JSON / CSV

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