diff --git a/r/DESCRIPTION b/r/DESCRIPTION
index 77a34a52139..9bb9976355f 100644
--- a/r/DESCRIPTION
+++ b/r/DESCRIPTION
@@ -41,7 +41,7 @@ Imports:
     utils,
     vctrs
 Roxygen: list(markdown = TRUE, r6 = FALSE, load = "source")
-RoxygenNote: 7.2.1
+RoxygenNote: 7.2.2
 Config/testthat/edition: 3
 Suggests:
     blob,
diff --git a/r/R/dataset.R b/r/R/dataset.R
index 2ef17a7cde1..732c05ecb01 100644
--- a/r/R/dataset.R
+++ b/r/R/dataset.R
@@ -123,7 +123,7 @@
 #' @return A [Dataset] R6 object. Use `dplyr` methods on it to query the data,
 #' or call [`$NewScan()`][Scanner] to construct a query directly.
 #' @export
-#' @seealso \href{https://arrow.apache.org/docs/r/articles/datasets.html}{
+#' @seealso \href{https://arrow.apache.org/docs/r/articles/dataset.html}{
 #' datasets article}
 #' @include arrow-object.R
 #' @examplesIf arrow_with_dataset() & arrow_with_parquet()
diff --git a/r/R/json.R b/r/R/json.R
index 53265305f1f..0860211d90c 100644
--- a/r/R/json.R
+++ b/r/R/json.R
@@ -32,8 +32,7 @@
 #' - JSON arrays convert to a [list_of()] type, and inference proceeds recursively on the JSON arrays' values.
 #' - Nested JSON objects convert to a [struct()] type, and inference proceeds recursively on the JSON objects' values.
 #'
-#' When `as_data_frame = FALSE`, Arrow types are further converted to R types.
-#' See \url{https://arrow.apache.org/docs/r/articles/read_write.html} for details.
+#' When `as_data_frame = TRUE`, Arrow types are further converted to R types.
 #'
 #' @inheritParams read_delim_arrow
 #' @param schema [Schema] that describes the table.
diff --git a/r/man/arrow-package.Rd b/r/man/arrow-package.Rd
index 7f662dc7071..e1b6808f6bf 100644
--- a/r/man/arrow-package.Rd
+++ b/r/man/arrow-package.Rd
@@ -6,8 +6,6 @@
 \alias{arrow-package}
 \title{arrow: Integration to 'Apache' 'Arrow'}
 \description{
-\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}}
-
 'Apache' 'Arrow' \url{https://arrow.apache.org/} is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
 }
 \seealso{
diff --git a/r/man/as_arrow_table.Rd b/r/man/as_arrow_table.Rd
index 1ca11be460d..ae679974ff3 100644
--- a/r/man/as_arrow_table.Rd
+++ b/r/man/as_arrow_table.Rd
@@ -7,9 +7,9 @@
 \alias{as_arrow_table.RecordBatch}
 \alias{as_arrow_table.data.frame}
 \alias{as_arrow_table.RecordBatchReader}
+\alias{as_arrow_table.Dataset}
 \alias{as_arrow_table.arrow_dplyr_query}
 \alias{as_arrow_table.Schema}
-\alias{as_arrow_table.Dataset}
 \title{Convert an object to an Arrow Table}
 \usage{
 as_arrow_table(x, ..., schema = NULL)
@@ -24,11 +24,11 @@ as_arrow_table(x, ..., schema = NULL)
 
 \method{as_arrow_table}{RecordBatchReader}(x, ...)
 
+\method{as_arrow_table}{Dataset}(x, ...)
+
 \method{as_arrow_table}{arrow_dplyr_query}(x, ...)
 
 \method{as_arrow_table}{Schema}(x, ...)
-
-\method{as_arrow_table}{Dataset}(x, ...)
 }
 \arguments{
 \item{x}{An object to convert to an Arrow Table}
diff --git a/r/man/open_dataset.Rd b/r/man/open_dataset.Rd
index da184feee05..07a6a1020e6 100644
--- a/r/man/open_dataset.Rd
+++ b/r/man/open_dataset.Rd
@@ -211,6 +211,6 @@ open_dataset(tf3, partitioning = schema(Month = int8(), Day = int8()))
 \dontshow{\}) # examplesIf}
 }
 \seealso{
-\href{https://arrow.apache.org/docs/r/articles/datasets.html}{
+\href{https://arrow.apache.org/docs/r/articles/dataset.html}{
 datasets article}
 }
diff --git a/r/man/read_json_arrow.Rd b/r/man/read_json_arrow.Rd
index ce9770b44ff..38c1a1666bc 100644
--- a/r/man/read_json_arrow.Rd
+++ b/r/man/read_json_arrow.Rd
@@ -54,8 +54,7 @@ falling back to \code{\link[=utf8]{utf8()}} if a conversion error occurs.
 \item Nested JSON objects convert to a \code{\link[=struct]{struct()}} type, and inference proceeds recursively on the JSON objects' values.
 }
 
-When \code{as_data_frame = FALSE}, Arrow types are further converted to R types.
-See \url{https://arrow.apache.org/docs/r/articles/read_write.html} for details.
+When \code{as_data_frame = TRUE}, Arrow types are further converted to R types.
 }
 \examples{
 \dontshow{if (arrow_with_json()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}