Merge pull request #8026 from elemhunt/develop

Small fixes - Batch 2.3 pt 2

Author: sade-wusi

src/connections/sources/catalog/libraries/mobile/apple/ios-17.md

@@ -31,7 +31,7 @@ Apple also introduces the concept of [NSPrivacyTrackingDomains](https://develope
 
 ## Analytics-Swift Privacy Manifest 
 
-The Segment [Privacy Manifest for Analytics-Swift here]() includes an array of [Privacy Nutrition Label Types](https://developer.apple.com/app-store/app-privacy-details/#data-type){:target="_blank"} for the following automatically collected fields: 
+The Segment [Privacy Manifest for Analytics-Swift here](/docs/connections/sources/catalog/libraries/mobile/apple/) includes an array of [Privacy Nutrition Label Types](https://developer.apple.com/app-store/app-privacy-details/#data-type){:target="_blank"} for the following automatically collected fields: 
 
 | Data               | Linked To User | Used For Tracking | Reason for Collection |
 | -------------------| ---------------| ------------------| ---------------------- |
@@ -43,8 +43,8 @@ The Segment [Privacy Manifest for Analytics-Swift here]() includes an array of [
 
 
 ## Additional privacy manifests
-- [Analytics-Swift Engage Plugin]()
-- [Analytics-iOS (Classic)]()
+- [Analytics-Swift Engage Plugin](/docs/connections/sources/catalog/libraries/mobile/apple/)
+- [Analytics-iOS (Classic)](/docs/connections/sources/catalog/libraries/mobile/apple/)
 
 
 ## Generating your privacy report

src/connections/sources/catalog/libraries/mobile/kotlin-android/destination-plugins/mixpanel-kotlin-android.md

@@ -63,7 +63,7 @@ analytics.identify("user-123", buildJsonObject {
 The first thing you'll want to do is to identify your users so Mixpanel knows who they are. You'll use the Identify method to accomplish this which takes the unique `userId` of a user and any `traits` you know about them.
 
 > info ""
-> **Important**: Mixpanel used to require that you call `alias` in all libraries to connect anonymous visitors to identified users. However, with the release of Mixpanel's new [Identity Merge feature](https://help.mixpanel.com/hc/en-us/articles/360039133851#enable-id-merge){:target="_blank"} this is no longer necessary. To enable ID Merge, go to your Mixpanel Settings Dashboard, navigate to **Project Settings > Identity Merge** and enable the setting from that screen. If you are \_not_ using this setting, use the instructions below.
+> **Important**: Mixpanel used to require that you call `alias` in all libraries to connect anonymous visitors to identified users. However, with the release of Mixpanel's new [Identity Merge feature](https://help.mixpanel.com/hc/en-us/articles/360039133851#enable-id-merge){:target="_blank"} this is no longer necessary. To enable ID Merge, go to your Mixpanel Settings Dashboard, navigate to **Project Settings > Identity Merge** and enable the setting from that screen. If you are _not_ using this setting, use the instructions below.
 
 As soon as you have a `userId` for a visitor that was previously anonymous you'll need to [`alias`](/docs/connections/spec/alias/) their old anonymous `id` to the new `userId`. In Mixpanel only **one** anonymous user history can be merged to **one** identified user. For that reason you should only call `alias` once, right after a user registered, but before the first `identify`.
 

src/connections/sources/catalog/libraries/mobile/kotlin-android/destination-plugins/nielsen-dcr-kotlin-android.md

@@ -2,7 +2,7 @@
 title: Analytics Kotlin Nielsen DCR Plugin
 ---
 
-Nielsen Digital Content Ratings (DCR) respond to the shifting and complex multi-platform, multi-device, and multi-distribution landscape by providing comprehensive measurement of digital content consumption—including streaming video, static web pages and mobile apps—across all major devices and platforms. The Analytics-Kotlin Nielsen-DCR Plugin](https://github.com/segment-integrations/analytics-kotlin-nielsen-dcr){:target="_blank”} tracks data for [Analytics-Kotlin](https://github.com/segmentio/analytics-kotlin){:target="_blank”}.
+Nielsen Digital Content Ratings (DCR) respond to the shifting and complex multi-platform, multi-device, and multi-distribution landscape by providing comprehensive measurement of digital content consumption—including streaming video, static web pages and mobile apps—across all major devices and platforms. The Analytics-Kotlin [Nielsen-DCR Plugin](https://github.com/segment-integrations/analytics-kotlin-nielsen-dcr){:target="_blank”} tracks data for [Analytics-Kotlin](https://github.com/segmentio/analytics-kotlin){:target="_blank”}.
 
 ## Getting started