This dataset contains 263,819 social media mentions of MetLife spanning sports venue discussions, corporate executive compensation debates, and entertainment events at MetLife Stadium.
Mentions
263,819
Views
125.4M
Engagement
36.0M
[ { "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 } } ]
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.
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 datasetDelivered 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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